Triple
T21446761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amadeus |
E529096
|
entity |
| Predicate | broadwayProducer |
P33162
|
FINISHED |
| Object |
Dasha Epstein
Dasha Epstein was a prominent Broadway producer known for championing innovative and influential theatrical works.
|
E1484894
|
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: Dasha Epstein | Statement: [Amadeus, broadwayProducer, Dasha Epstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dasha Epstein Context triple: [Amadeus, broadwayProducer, Dasha Epstein]
-
A.
Sarah Natochenny
Sarah Natochenny is an American voice actress best known for voicing Ash Ketchum in the English-language version of the Pokémon anime series.
-
B.
Anya Epstein
Anya Epstein is an American television writer and producer known for her work on acclaimed drama series such as The Affair.
-
C.
Lisa Davidowitz
Lisa Davidowitz is a screenwriter best known for her work on the film "Uptown Girls."
-
D.
Mindi Dickstein
Mindi Dickstein is an American lyricist and librettist best known for her work on the Broadway musical adaptation of "Little Women."
-
E.
Esme Bodenstein
Esme Bodenstein was the wife of South African anti-apartheid activist Denis Goldberg and a fellow supporter of the struggle against apartheid.
- 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: Dasha Epstein Triple: [Amadeus, broadwayProducer, Dasha Epstein]
Generated description
Dasha Epstein was a prominent Broadway producer known for championing innovative and influential theatrical works.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dasha Epstein Target entity description: Dasha Epstein was a prominent Broadway producer known for championing innovative and influential theatrical works.
-
A.
Sarah Natochenny
Sarah Natochenny is an American voice actress best known for voicing Ash Ketchum in the English-language version of the Pokémon anime series.
-
B.
Anya Epstein
Anya Epstein is an American television writer and producer known for her work on acclaimed drama series such as The Affair.
-
C.
Lisa Davidowitz
Lisa Davidowitz is a screenwriter best known for her work on the film "Uptown Girls."
-
D.
Mindi Dickstein
Mindi Dickstein is an American lyricist and librettist best known for her work on the Broadway musical adaptation of "Little Women."
-
E.
Esme Bodenstein
Esme Bodenstein was the wife of South African anti-apartheid activist Denis Goldberg and a fellow supporter of the struggle against apartheid.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9cea7bc81909ee3e1cdeda1fe7e |
completed | April 23, 2026, 9:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c9054e0c81908f13a2240c200b9e |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c993004c81909cc0224947c178e0 |
completed | May 17, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ca14cfcc81908565427b504d815e |
completed | May 17, 2026, 2 p.m. |
Created at: April 16, 2026, 6:06 p.m.