Triple
T6975987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Daughter |
E161718
|
entity |
| Predicate | starring |
P1507
|
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: [First Daughter, starring, Lela Rochon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lela Rochon Context triple: [First Daughter, starring, 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.
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.
-
D.
Retta
Retta is an American actress and comedian best known for her roles on the television series "Parks and Recreation" and "Good Girls."
-
E.
Jenne Chiini
Jenne Chiini is a Songhay language variety spoken primarily in and around the town of Djenné in Mali.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3d3ab08190b107f3229c357dd2 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761ab41b0819084d26c10bb763f8e |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:31 p.m.