Triple
T9578404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Why Do Fools Fall in Love |
E231106
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Lela Rochon |
E32637
|
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: Lela Rochon | Statement: [Why Do Fools Fall in Love, hasCastMember, Lela Rochon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lela Rochon Context triple: [Why Do Fools Fall in Love, hasCastMember, Lela Rochon]
-
A.
Lela Rochon
chosen
Lela Rochon is an American actress best known for her breakout role in the 1995 film "Waiting to Exhale" and her work in numerous film and television projects throughout the 1990s.
-
B.
Lola Ray Facinelli
Lola Ray Facinelli is the daughter of American actor Peter Facinelli.
-
C.
Alexis Marie Rochon
Alexis Marie Rochon was an 18th-century French astronomer, physicist, and optician known for his work on achromatic lenses and improvements to optical instruments.
-
D.
Marilu Henner
Marilu Henner is an American actress and author best known for her role as Elaine Nardo on the TV sitcom "Taxi" and for her appearances in numerous film and television projects.
-
E.
Retta
Retta is an American actress and comedian best known for her roles on the television series "Parks and Recreation" and "Good Girls."
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189ef34c48190974a1a4ca6943a87 |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:05 p.m.