Triple
T22075613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhubala |
E545513
|
entity |
| Predicate | coStar |
P43875
|
FINISHED |
| Object | Guru Dutt |
—
|
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: Guru Dutt | Statement: [Madhubala, coStar, Guru Dutt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guru Dutt Context triple: [Madhubala, coStar, Guru Dutt]
-
A.
Guru Dutt
chosen
Guru Dutt was a pioneering Indian filmmaker and actor of the 1950s and 1960s, renowned for his poetic, melancholic cinema and classics like "Pyaasa" and "Kaagaz Ke Phool."
-
B.
Bimal Roy
Bimal Roy was a renowned Indian film director celebrated for his socially conscious, realist storytelling and classic Hindi films such as "Do Bigha Zamin" and "Bandini."
-
C.
Kamal Amrohi
Kamal Amrohi was a renowned Indian film director, screenwriter, and producer best known for classic Hindi cinema works such as "Mahal" and "Pakeezah."
-
D.
Anjan Dutt
Anjan Dutt is an Indian filmmaker, actor, singer-songwriter, and one of the key figures in modern Bengali cinema and music.
-
E.
M.S. Sathyu
M.S. Sathyu is an acclaimed Indian film director best known for his socially conscious and politically charged works, including the landmark film "Garm Hava," which helped define the parallel cinema movement.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b1904881909a1769ce8be39e05 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.