Triple
T22621259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hema Malini |
E558285
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Esha Deol |
—
|
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: Esha Deol | Statement: [Hema Malini, child, Esha Deol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esha Deol Context triple: [Hema Malini, child, Esha Deol]
-
A.
Esha Deol
chosen
Esha Deol is an Indian film actress, primarily known for her work in Hindi cinema and as the daughter of legendary actors Dharmendra and Hema Malini.
-
B.
Sonakshi Sinha
Sonakshi Sinha is an Indian film actress best known for her work in Hindi cinema, including notable performances in both commercial blockbusters and critically acclaimed dramas.
-
C.
Neha Kapur
Neha Kapur is an Indian model, former Miss India Universe 2006, and fashion entrepreneur.
-
D.
Kajol
Kajol is a renowned Indian film actress celebrated for her powerful performances and iconic roles in Hindi cinema since the 1990s.
-
E.
Pooja Bhatt
Pooja Bhatt is an Indian actress, filmmaker, and producer known for her work in Hindi cinema since the early 1990s.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e39959481909e0ae67379435f95 |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3 p.m.