Triple
T20214661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asif Kapadia |
E493585
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kapadia |
—
|
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: Kapadia | Statement: [Asif Kapadia, familyName, Kapadia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapadia Context triple: [Asif Kapadia, familyName, Kapadia]
-
A.
Asif Kapadia
Asif Kapadia is a British filmmaker renowned for his emotionally powerful, archive-driven documentaries such as "Senna," "Amy," and "Diego Maradona."
-
B.
Sacha Puttnam
Sacha Puttnam is a British composer and musician known for his film scores and orchestral arrangements.
-
C.
Karthik Subbaraj
Karthik Subbaraj is an Indian film director and screenwriter known for his innovative storytelling and genre-blending Tamil films such as "Pizza," "Jigarthanda," and "Petta."
-
D.
Dimple Chunnibhai Kapadia
chosen
Dimple Chunnibhai Kapadia is an acclaimed Indian film actress known for her impactful performances in Hindi cinema since the 1970s.
-
E.
Ritesh Batra
Ritesh Batra is an Indian film director and screenwriter best known for his acclaimed debut feature "The Lunchbox" and subsequent international work in both Hindi and English-language cinema.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed8101081908e53a8bde48624b1 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.