Triple
T22102849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karma |
E546212
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Jackie Shroff |
—
|
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: Jackie Shroff | Statement: [Karma, starredActor, Jackie Shroff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jackie Shroff Context triple: [Karma, starredActor, Jackie Shroff]
-
A.
Jackie Shroff
chosen
Jackie Shroff is a veteran Indian film actor known for his versatile performances across Hindi cinema since the 1980s.
-
B.
Sunny Deol
Sunny Deol is an Indian film actor, director, and politician best known for his powerful action roles and intense performances in Hindi cinema.
-
C.
Bo Derek
Bo Derek is an American actress and model best known for her breakout role in the 1979 film "10," which made her a major sex symbol of the late 20th century.
-
D.
Suniel Shetty
Suniel Shetty is an Indian film actor and producer best known for his action and comedy roles in numerous Bollywood movies since the 1990s.
-
E.
Jeetendra
Jeetendra is a veteran Indian film and television actor best known for his prolific work in Hindi cinema from the 1960s through the 1990s and his energetic dance-oriented roles.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.