Triple
T6926133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suraj Sharma |
E160313
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Rinku Singh |
E571035
|
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: Rinku Singh | Statement: [Suraj Sharma, playedCharacter, Rinku Singh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rinku Singh Context triple: [Suraj Sharma, playedCharacter, Rinku Singh]
-
A.
Rinku Singh
chosen
Rinku Singh is an Indian former javelin thrower who became one of the first Indian-born professional baseball players in the United States after winning the reality show "Million Dollar Arm."
-
B.
Kieron Pollard
Kieron Pollard is a powerful West Indian all-rounder renowned for his explosive batting, handy medium-pace bowling, and match-winning performances in T20 cricket.
-
C.
Ziva Dhoni
Ziva Dhoni is the daughter of former Indian cricket captain Mahendra Singh Dhoni and has gained public attention through her frequent appearances on social media and at cricket events.
-
D.
Sakshi Dhoni
Sakshi Dhoni is an Indian entrepreneur and public figure best known as the wife of former Indian cricket captain MS Dhoni.
-
E.
Sandhini Agarwal
Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1aa9c48190b63a04be2ed9e266 |
completed | March 27, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7513fddd88190b99c4b7e3364d218 |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:27 p.m.