Triple
T22403729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahesh Manjrekar |
E553826
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Astitva |
—
|
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: Astitva | Statement: [Mahesh Manjrekar, directed, Astitva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Astitva Context triple: [Mahesh Manjrekar, directed, Astitva]
-
A.
Astitva
chosen
Astitva is a critically acclaimed Indian drama film known for its exploration of gender roles, marital fidelity, and female identity.
-
B.
Vidhaata
Vidhaata is a 1982 Hindi action drama film directed by Subhash Ghai, known for its star-studded cast, popular music, and commercial success in Indian cinema.
-
C.
Jiva
Jiva is an epithet of the Vedic deity Brihaspati, highlighting his role as the vital, life-giving spiritual teacher and guide.
-
D.
Jiva
Jiva was a 1970s American rock band known for blending pop, rock, and soul influences and for being one of the lesser-known acts signed to George Harrison’s Dark Horse Records label.
-
E.
Samsara
Samsara is a classic oriental woody fragrance by Guerlain, known for its rich sandalwood and jasmine composition.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b6762c8190991fc14c5ca8e609 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.