Triple
T3875288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Bacall |
E92485
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Applause |
E282636
|
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: Applause | Statement: [Lauren Bacall, notableWork, Applause]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Applause Context triple: [Lauren Bacall, notableWork, Applause]
-
A.
Applause
Applause is a 1929 American pre-Code musical film, celebrated for its innovative sound design and direction by Rouben Mamoulian.
-
B.
Applause (musical)
chosen
Applause is a 1970 Broadway musical adaptation of the film "All About Eve," featuring music by Charles Strouse and lyrics by Lee Adams.
-
C.
Laud
Laud is a notable English surname most famously borne by William Laud, the 17th-century Archbishop of Canterbury under King Charles I.
-
D.
Celebration
"Celebration" is a one-act darkly comic play by British dramatist Harold Pinter that satirizes social pretensions and power dynamics during a restaurant dinner.
-
E.
Standing O
"Standing O" is a pop song by Mariah Carey from her 2009 album *Memoirs of an Imperfect Angel*.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec706434819095e0d2b376adb548 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5124f095881909143b624128ff569 |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.