Triple
T14345416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giles Nuttgens |
E355704
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Deepa Mehta |
E160149
|
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: Deepa Mehta | Statement: [Giles Nuttgens, collaboratesWith, Deepa Mehta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deepa Mehta Context triple: [Giles Nuttgens, collaboratesWith, Deepa Mehta]
-
A.
Deepa Mehta
chosen
Deepa Mehta is an Indo-Canadian filmmaker best known for her socially charged and visually rich films such as the Elements Trilogy (Fire, Earth, and Water).
-
B.
Nira Benegal
Nira Benegal is the wife of acclaimed Indian film director and screenwriter Shyam Benegal.
-
C.
Mira Nair
Mira Nair is an acclaimed Indian-American film director and producer known for socially conscious, character-driven films such as "Salaam Bombay!", "Mississippi Masala," and "Monsoon Wedding."
-
D.
Aruna Anand
Aruna Anand is an Indian social worker and public figure best known as the wife and manager of chess world champion Viswanathan Anand.
-
E.
Shyam Benegal
Shyam Benegal is a renowned Indian film director and screenwriter, widely regarded as a pioneer of parallel cinema and known for his socially conscious and critically acclaimed works.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8b81bc8190ace2a575faf55cc0 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469f63b881909c164b1aaadcc15d |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.