Triple
T21428440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finding Fanny |
E528621
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Homi Adajania |
—
|
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: Homi Adajania | Statement: [Finding Fanny, writer, Homi Adajania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Homi Adajania Context triple: [Finding Fanny, writer, Homi Adajania]
-
A.
Homi Adajania
chosen
Homi Adajania is an Indian film director and screenwriter known for his offbeat, genre-bending Hindi films such as "Being Cyrus," "Cocktail," and "Finding Fanny."
-
B.
Manish Bhasin
Manish Bhasin is a British sports journalist and television presenter best known for his long-running work on BBC football coverage.
-
C.
Aditya Pancholi
Aditya Pancholi is an Indian film actor and producer known for his work in Hindi cinema, often in supporting and antagonist roles.
-
D.
Shirish Apte
Shirish Apte is an Indian banker and business executive known for his senior leadership roles at Citigroup in the Asia-Pacific and Central and Eastern Europe, Middle East, and Africa regions.
-
E.
Ronny Jhutti
Ronny Jhutti is a British actor known for his work in film and television, including roles in UK dramas and comedies.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3e74bcc81909ad66e3c59152ffc |
completed | April 22, 2026, 11:41 a.m. |
Created at: April 16, 2026, 5:49 p.m.