Triple
T20170819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashok Kumar |
E491951
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Amit Kumar |
—
|
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: Amit Kumar | Statement: [Ashok Kumar, relative, Amit Kumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amit Kumar Context triple: [Ashok Kumar, relative, Amit Kumar]
-
A.
Amit Kumar
chosen
Amit Kumar is an Indian playback singer and actor, best known as the son of legendary singer Kishore Kumar and for his work in Hindi cinema music.
-
B.
Ajay Kumar
Ajay Kumar is an Indian screenwriter best known for contributing dialogue to major Telugu-language films, including the epic blockbuster "Baahubali: The Beginning."
-
C.
Sumit Kumar
Sumit Kumar is known primarily as a son of the legendary Indian playback singer and actor Kishore Kumar.
-
D.
Ameet Shukla
Ameet Shukla is a film producer best known for his work on the action thriller movie "Cold Pursuit."
-
E.
Anil Kumar
Anil Kumar is an Indian business leader and academic figure best known for playing a key role in establishing the Indian School of Business as a premier management institution.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66847ed9481908e6b23b399fa7005 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.