Triple
T11171511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judge Turpin |
E264283
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object |
Benjamin Barker
Benjamin Barker is the wrongfully imprisoned barber who returns to London under the alias Sweeney Todd to seek revenge in Stephen Sondheim’s musical and its adaptations.
|
E908922
|
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: Benjamin Barker | Statement: [Judge Turpin, enemyOf, Benjamin Barker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benjamin Barker Context triple: [Judge Turpin, enemyOf, Benjamin Barker]
-
A.
Will Turpin
Will Turpin is an American musician best known as the longtime bassist for the rock band Collective Soul.
-
B.
Roger the Dodger
Roger the Dodger is the famed Hall of Fame NFL quarterback Roger Staubach, celebrated for his elusive scrambling ability and clutch performances with the Dallas Cowboys.
-
C.
Marty Fogg
Marty Fogg is a musician and composer known for creating the music for the song "I'm Still Here."
-
D.
Simon Farnaby
Simon Farnaby is a British actor, comedian, and screenwriter known for his work on projects like Paddington 2, Ghosts, and Horrible Histories.
-
E.
Oliver Braddick
Oliver Braddick is a British experimental psychologist and neuroscientist known for his influential work on visual perception and development.
- 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: Benjamin Barker Triple: [Judge Turpin, enemyOf, Benjamin Barker]
Generated description
Benjamin Barker is the wrongfully imprisoned barber who returns to London under the alias Sweeney Todd to seek revenge in Stephen Sondheim’s musical and its adaptations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benjamin Barker Target entity description: Benjamin Barker is the wrongfully imprisoned barber who returns to London under the alias Sweeney Todd to seek revenge in Stephen Sondheim’s musical and its adaptations.
-
A.
Will Turpin
Will Turpin is an American musician best known as the longtime bassist for the rock band Collective Soul.
-
B.
Roger the Dodger
Roger the Dodger is the famed Hall of Fame NFL quarterback Roger Staubach, celebrated for his elusive scrambling ability and clutch performances with the Dallas Cowboys.
-
C.
Marty Fogg
Marty Fogg is a musician and composer known for creating the music for the song "I'm Still Here."
-
D.
Simon Farnaby
Simon Farnaby is a British actor, comedian, and screenwriter known for his work on projects like Paddington 2, Ghosts, and Horrible Histories.
-
E.
Oliver Braddick
Oliver Braddick is a British experimental psychologist and neuroscientist known for his influential work on visual perception and development.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463b155a08190b361b38a39d25b1f |
completed | April 19, 2026, 5:10 a.m. |
| NEDg | Description generation | batch_69e46c37efec81908aa709587c37569d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e47292cdd08190b05c4c8b09f4f918 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 8, 2026, 9:29 p.m.