Triple
T5417648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweeney Todd (stage production) |
E121169
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
The Ballad of Sweeney Todd
"The Ballad of Sweeney Todd" is the dark, choral prologue and recurring musical motif that sets the grim tone and narrates the legend in Stephen Sondheim's musical *Sweeney Todd: The Demon Barber of Fleet Street*.
|
E523694
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Ballad of Sweeney Todd | Statement: [Sweeney Todd (stage production), notableSong, The Ballad of Sweeney Todd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Ballad of Sweeney Todd Context triple: [Sweeney Todd (stage production), notableSong, The Ballad of Sweeney Todd]
-
A.
Sweeney Todd (stage production)
Sweeney Todd is a dark, critically acclaimed stage musical—most famously composed by Stephen Sondheim—that tells the macabre story of a vengeful barber in Victorian London.
-
B.
Sweeney Todd: The Demon Barber of Fleet Street (2007 film)
Sweeney Todd: The Demon Barber of Fleet Street is a 2007 dark musical horror film adaptation of the Stephen Sondheim stage musical, starring Johnny Depp as a vengeful barber in Victorian London.
-
C.
Manhattan Melodrama
Manhattan Melodrama is a 1934 American crime drama film, best known for starring Clark Gable, William Powell, and Myrna Loy and for being the movie John Dillinger watched before his death.
-
D.
Ripper Street
Ripper Street is a British period crime drama television series set in Victorian-era London’s Whitechapel district in the aftermath of the Jack the Ripper murders.
-
E.
The Mystery of Edwin Drood (musical)
The Mystery of Edwin Drood is a Tony Award–winning Broadway musical by Rupert Holmes that playfully adapts Charles Dickens’ unfinished novel into an interactive, audience-vote-driven whodunit.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Ballad of Sweeney Todd Triple: [Sweeney Todd (stage production), notableSong, The Ballad of Sweeney Todd]
Generated description
"The Ballad of Sweeney Todd" is the dark, choral prologue and recurring musical motif that sets the grim tone and narrates the legend in Stephen Sondheim's musical *Sweeney Todd: The Demon Barber of Fleet Street*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Ballad of Sweeney Todd Target entity description: "The Ballad of Sweeney Todd" is the dark, choral prologue and recurring musical motif that sets the grim tone and narrates the legend in Stephen Sondheim's musical *Sweeney Todd: The Demon Barber of Fleet Street*.
-
A.
Sweeney Todd (stage production)
Sweeney Todd is a dark, critically acclaimed stage musical—most famously composed by Stephen Sondheim—that tells the macabre story of a vengeful barber in Victorian London.
-
B.
Sweeney Todd: The Demon Barber of Fleet Street (2007 film)
Sweeney Todd: The Demon Barber of Fleet Street is a 2007 dark musical horror film adaptation of the Stephen Sondheim stage musical, starring Johnny Depp as a vengeful barber in Victorian London.
-
C.
Manhattan Melodrama
Manhattan Melodrama is a 1934 American crime drama film, best known for starring Clark Gable, William Powell, and Myrna Loy and for being the movie John Dillinger watched before his death.
-
D.
Ripper Street
Ripper Street is a British period crime drama television series set in Victorian-era London’s Whitechapel district in the aftermath of the Jack the Ripper murders.
-
E.
The Mystery of Edwin Drood (musical)
The Mystery of Edwin Drood is a Tony Award–winning Broadway musical by Rupert Holmes that playfully adapts Charles Dickens’ unfinished novel into an interactive, audience-vote-driven whodunit.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87e620f081909eb9a5e1f284e5a2 |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c548a40819086910fbc39b21e90 |
completed | March 22, 2026, 4:13 a.m. |
| NEDg | Description generation | batch_69bf6cc99c008190a4ed80b21d3f88df |
completed | March 22, 2026, 4:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf6d8959e48190b9f75abf064c0d0f |
completed | March 22, 2026, 4:18 a.m. |
Created at: March 20, 2026, 2:05 p.m.