Triple
T4750634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fall (2006 film) |
E105468
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Tarsem Singh |
E467275
|
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: Tarsem Singh | Statement: [The Fall (2006 film), screenwriter, Tarsem Singh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarsem Singh Context triple: [The Fall (2006 film), screenwriter, Tarsem Singh]
-
A.
Tarsem Singh
chosen
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.
-
B.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
C.
Bobby Bedi
Bobby Bedi is an Indian film producer known for backing acclaimed and ambitious Hindi films, including historical and socially themed projects.
-
D.
Sriram Raghavan
Sriram Raghavan is an acclaimed Indian film director and screenwriter best known for his stylish, noir-influenced thrillers such as "Johnny Gaddaar," "Badlapur," and "Andhadhun."
-
E.
Paresh Rawal
Paresh Rawal is a renowned Indian actor and comedian celebrated for his versatile performances in Hindi cinema and theatre.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c83af48190bd57be79c1505e9d |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43b24440819081f3932eb6b68b48 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:20 p.m.