Triple
T22801090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saira Banu |
E564393
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Junglee |
—
|
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: Junglee | Statement: [Saira Banu, notableWork, Junglee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junglee Context triple: [Saira Banu, notableWork, Junglee]
-
A.
Junglee
chosen
Junglee is a 1961 Hindi romantic comedy film starring Shammi Kapoor that became iconic for its music, energetic performances, and the popularization of the song "Yahoo! Chahe Koi Mujhe Junglee Kahe."
-
B.
Roaring Tiger
Roaring Tiger is the fierce tiger mascot representing Colorado College’s athletic teams and school spirit.
-
C.
Safed Haathi
Safed Haathi is an Indian children's adventure film, best known for its heartwarming story about a boy's bond with a white elephant and its direction by acclaimed filmmaker Tapan Sinha.
-
D.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
-
E.
Khakee
Khakee is a 2004 Indian action thriller film directed by Rajkumar Santoshi, centered on a high-stakes police mission and noted for its intense narrative and ensemble cast.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdd87648190ba30f0b8f3ef7346 |
completed | April 29, 2026, 3:37 a.m. |
Created at: April 17, 2026, 3:31 p.m.