Triple
T7816149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaya Bhaduri |
E181010
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Guddi |
E562834
|
NE FINISHED |
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: Guddi | Statement: [Jaya Bhaduri, notableWork, Guddi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guddi Context triple: [Jaya Bhaduri, notableWork, Guddi]
-
A.
Neeru Khosla
Neeru Khosla is an Indian-American education advocate and co-founder of the nonprofit digital learning platform CK-12 Foundation.
-
B.
Meena Khadikar
Meena Khadikar is an Indian playback singer and composer, known for her work in Marathi and Hindi music and as a member of the renowned Mangeshkar musical family.
-
C.
Rekha
chosen
Rekha is a celebrated Indian film actress renowned for her versatile performances and enduring impact on Hindi cinema.
-
D.
Anu Khosla
Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
-
E.
Bhumika
Bhumika is a critically acclaimed 1977 Indian Hindi-language film directed by Shyam Benegal, known for its powerful portrayal of a woman's struggle for identity and autonomy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96d1f088190a1d005ffb019afe9 |
completed | March 30, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb1488a2e48190924f44b46f925d87 |
completed | March 31, 2026, 12:25 a.m. |
Created at: March 30, 2026, 4:39 p.m.