Triple
T21265519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anant Nag |
E524114
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Anant Nagarkatte |
—
|
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: Anant Nagarkatte | Statement: [Anant Nag, birthName, Anant Nagarkatte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anant Nagarkatte Context triple: [Anant Nag, birthName, Anant Nagarkatte]
-
A.
Anant Nagarkatte
chosen
Anant Nagarkatte, popularly known as Anant Nag, is a renowned Indian actor and politician best known for his prolific work in Kannada cinema and theatre.
-
B.
Nandikar
Nandikar is a prominent Bengali theatre group known for its influential productions and significant contributions to contemporary Indian stage drama.
-
C.
Nandiraj
Nandiraj is a tributary river that feeds into the Indravati River in central India.
-
D.
Bhimsagar
Bhimsagar is a notable historical site in Rajasthan, India, recognized for its heritage significance within the Jhalawar region.
-
E.
Behari
Behari is a fictional character, likely from South Asian literature or drama, connected to the character Ashalata in a significant narrative relationship.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735ebe09081909f74301e91b4d3d7 |
completed | April 21, 2026, 8:31 a.m. |
Created at: April 16, 2026, 4 p.m.