Triple
T9095054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dionne Warwick |
E217995
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Déjà Vu |
E154016
|
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: Déjà Vu | Statement: [Dionne Warwick, notableWork, Déjà Vu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Déjà Vu Context triple: [Dionne Warwick, notableWork, Déjà Vu]
-
A.
Déjà Vu
chosen
"Déjà Vu" is a 1979 soulful pop ballad by Dionne Warwick, written and produced by Isaac Hayes, known for its lush orchestration and emotive vocal performance.
-
B.
Déjà Vu
Déjà Vu is a landmark 1970 folk-rock album by supergroup Crosby, Stills, Nash & Young, known for its rich harmonies and classic tracks like "Teach Your Children" and "Woodstock."
-
C.
Déjàvu
Déjàvu is a stage play by British dramatist John Osborne that revisits and continues the story of his earlier groundbreaking work "Look Back in Anger."
-
D.
Deja Vu
"Deja Vu" is a popular hip-hop track by American rapper J. Cole from his 2016 album "4 Your Eyez Only," known for its introspective lyrics and melodic production.
-
E.
Deja Vu
Deja Vu is a 2006 science fiction action thriller film starring Denzel Washington and Paula Patton, centered on time travel technology used to prevent a terrorist attack in New Orleans.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b4a2e0819092f4eae8b1d21f33 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0180f70b88190a2d3dc49f32f0c2e |
completed | April 3, 2026, 7:42 p.m. |
Created at: March 30, 2026, 7:14 p.m.