Triple
T3510494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Sondheim |
E74182
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Johanna
"Johanna" is a recurring, lyrically poignant love song from Stephen Sondheim's musical *Sweeney Todd: The Demon Barber of Fleet Street*.
|
E366888
|
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: Johanna | Statement: [Stephen Sondheim, notableSong, Johanna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johanna Context triple: [Stephen Sondheim, notableSong, Johanna]
-
A.
Johanna
Johanna is the given name of Johanna Spyri, the Swiss author best known for creating the classic children's novel "Heidi."
-
B.
Joanna
Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
-
C.
Julianna
Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
-
D.
Katja
Katja is a diminutive or short form of the given name Katarina, commonly used in various Slavic and European languages.
-
E.
Júlia
Júlia is the given name of Julia Warhola, the mother of American pop artist Andy Warhol.
- 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: Johanna Triple: [Stephen Sondheim, notableSong, Johanna]
Generated description
"Johanna" is a recurring, lyrically poignant love song from 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: Johanna Target entity description: "Johanna" is a recurring, lyrically poignant love song from Stephen Sondheim's musical *Sweeney Todd: The Demon Barber of Fleet Street*.
-
A.
Johanna
Johanna is the given name of Johanna Spyri, the Swiss author best known for creating the classic children's novel "Heidi."
-
B.
Joanna
Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
-
C.
Julianna
Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
-
D.
Katja
Katja is a diminutive or short form of the given name Katarina, commonly used in various Slavic and European languages.
-
E.
Júlia
Júlia is the given name of Julia Warhola, the mother of American pop artist Andy Warhol.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0e1f0c8190b054d9fba16ce4b3 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bc25328819098f7744ee228d665 |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38f9487c481909c37b3c036e8b08d |
completed | March 13, 2026, 4:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38feb04188190a04dad8a7434ee94 |
completed | March 13, 2026, 4:17 a.m. |
Created at: March 8, 2026, 3:19 p.m.