Triple
T17012427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come What May |
E412732
|
entity |
| Predicate | coveredBy |
P6130
|
FINISHED |
| Object | Il Divo |
E244944
|
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: Il Divo | Statement: [Come What May, coveredBy, Il Divo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Il Divo Context triple: [Come What May, coveredBy, Il Divo]
-
A.
Il Divo
chosen
Il Divo is a multinational classical crossover vocal group known for blending operatic technique with popular songs in multiple languages.
-
B.
Diva Donna
Diva Donna is the onstage persona representing Donna Summer at the height of her fame in the jukebox musical "Summer: The Donna Summer Musical."
-
C.
Diva
"Diva" is a swaggering, club-ready R&B/pop track by Beyoncé that celebrates female confidence and star power.
-
D.
Diva
Diva is a 1981 French cult thriller film by Jean-Jacques Beineix, celebrated for its stylish visuals, blending of genres, and influence on the cinéma du look movement.
-
E.
Io Donna
Io Donna is an Italian weekly women's magazine focused on fashion, lifestyle, culture, and current affairs.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47cc17c819087f7bd27582bcbfa |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4990948190861ff81f8fc3e8f2 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:33 a.m.