Triple
T20675017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarhead 2: Field of Fire |
E508134
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Ronny Jhutti |
—
|
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: Ronny Jhutti | Statement: [Jarhead 2: Field of Fire, castMember, Ronny Jhutti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronny Jhutti Context triple: [Jarhead 2: Field of Fire, castMember, Ronny Jhutti]
-
A.
Ronny Jhutti
chosen
Ronny Jhutti is a British actor known for his work in film and television, including roles in UK dramas and comedies.
-
B.
Vikrant Kapoor
Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
-
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.
Manish Bhasin
Manish Bhasin is a British sports journalist and television presenter best known for his long-running work on BBC football coverage.
-
E.
Ali Fazal
Ali Fazal is an Indian actor known for his work in both Bollywood and international productions, including roles in films like "Victoria & Abdul" and the series "Mirzapur."
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cdbec48190a945261c41d810ce |
completed | April 20, 2026, 11:25 p.m. |
Created at: April 16, 2026, 11:44 a.m.