Triple
T22442098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dev Anand |
E554776
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Chetan Anand |
—
|
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: Chetan Anand | Statement: [Dev Anand, workedWith, Chetan Anand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chetan Anand Context triple: [Dev Anand, workedWith, Chetan Anand]
-
A.
Chetan Anand
chosen
Chetan Anand was a pioneering Indian film director and screenwriter, best known for his influential work in Hindi cinema from the 1940s onward.
-
B.
Tushar Mehta
Tushar Mehta is an Indian lawyer who serves as the Solicitor General of India, representing the Union government in major legal and constitutional matters before the Supreme Court.
-
C.
M. S. Shinde
M. S. Shinde is a film editor known for his work on the movie "Saagar."
-
D.
Mulk Raj Anand
Mulk Raj Anand was a pioneering Indian English novelist best known for his socially conscious works depicting the lives and struggles of the poor and marginalized in colonial India.
-
E.
Shashi Deshpande
Shashi Deshpande is an acclaimed Indian novelist and short story writer known for her nuanced portrayals of women's lives and social realities in contemporary India.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae2f7608190b1c1e8bd12ca2162 |
completed | April 29, 2026, 1:12 a.m. |
Created at: April 16, 2026, 8:47 p.m.