Triple
T18896557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhirubhai Ambani |
E462223
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Nina Kothari |
—
|
NE NERFINISHED |
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: Nina Kothari | Statement: [Dhirubhai Ambani, child, Nina Kothari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nina Kothari Context triple: [Dhirubhai Ambani, child, Nina Kothari]
-
A.
Nina Kothari
chosen
Nina Kothari is an Indian businesswoman and member of the prominent Ambani family, known for her roles in various family-run enterprises.
-
B.
Deepa Bhatia
Deepa Bhatia is an Indian film editor known for her acclaimed work on several Hindi films, including the critically celebrated drama "Taare Zameen Par."
-
C.
Meera Menon
Meera Menon is an American film and television director known for her work on independent features and acclaimed TV series.
-
D.
Neela Rasgotra
Neela Rasgotra is a fictional surgical resident and later attending physician on the medical drama series "ER," known for her intelligence, compassion, and complex personal relationships.
-
E.
Persis Khambatta
Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47f6c948190918ade08bb88f1fd |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 10, 2026, 11:58 a.m.