Triple
T22754270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sachin Tendulkar |
E562795
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sachin |
—
|
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: Sachin | Statement: [Sachin Tendulkar, givenName, Sachin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sachin Context triple: [Sachin Tendulkar, givenName, Sachin]
-
A.
Sachin
Sachin is an industrial suburb located within the Surat metropolitan region in the Indian state of Gujarat.
-
B.
Sachin
chosen
Sachin is a producer known for his work associated with the project or entity "Astitva."
-
C.
Sachin Tendulkar
Sachin Tendulkar is a legendary Indian cricketer widely regarded as one of the greatest batsmen in the history of the sport.
-
D.
Tendulkar
Tendulkar is a prominent Indian surname most famously associated with legendary cricketer Sachin Tendulkar and his family.
-
E.
Sachin Krishn
Sachin Krishn is an Indian cinematographer known for his work on feature films such as the political drama "The Accidental Prime Minister."
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bb80ac8190b53a1e00704c4ff5 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.