Triple
T15099389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lola (Damn Yankees) |
E360621
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Richard Adler |
E770908
|
NE FINISHED |
How this triple was built (2 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: Richard Adler | Statement: [Lola (Damn Yankees), createdBy, Richard Adler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Adler Context triple: [Lola (Damn Yankees), createdBy, Richard Adler]
-
A.
Richard Adler
chosen
Richard Adler was an American composer and lyricist best known for co-writing the hit Broadway musicals "The Pajama Game" and "Damn Yankees."
-
B.
Jerry Adler
Jerry Adler is an American actor and theatre director best known for his character roles in film, television, and on Broadway.
-
C.
Warren Adler
Warren Adler was an American novelist and short story writer best known for his darkly comic and dramatic works, including the novel "The War of the Roses," which was adapted into a popular film.
-
D.
Marty Adelstein
Marty Adelstein is an American television producer and executive known for developing and producing numerous popular TV series.
-
E.
Roger Birnbaum
Roger Birnbaum is an American film producer and studio executive known for co-founding Spyglass Entertainment and producing numerous mainstream Hollywood films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054f00388190a5123d9f4a869b96 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae230d148190a343ac92fb089902 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.