Triple
T11203165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bend It Like Beckham |
E265091
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Gurinder Chadha |
E865441
|
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: Gurinder Chadha | Statement: [Bend It Like Beckham, writer, Gurinder Chadha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gurinder Chadha Context triple: [Bend It Like Beckham, writer, Gurinder Chadha]
-
A.
Gurinder Chadha
chosen
Gurinder Chadha is a British film director and screenwriter known for culturally rich, often comedic dramas exploring the South Asian diaspora, including the hit film "Bend It Like Beckham."
-
B.
Deepa Mehta
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).
-
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.
Zoya Akhtar
Zoya Akhtar is an acclaimed Indian film director and screenwriter known for movies like "Zindagi Na Milegi Dobara," "Dil Dhadakne Do," and the series "Made in Heaven."
-
E.
Tarsem Singh
Tarsem Singh is an Indian-American film director and visual stylist known for his strikingly imaginative, visually rich works such as "The Cell," "The Fall," and numerous high-profile music videos and commercials.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d355c481908fc3d555b596314d |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad0984e08190af9c8263cc2a079d |
completed | April 19, 2026, 10:23 a.m. |
Created at: April 8, 2026, 9:29 p.m.