Triple
T21527001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shivaji Park Gymkhana |
E531121
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | Vijay Manjrekar |
—
|
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: Vijay Manjrekar | Statement: [Shivaji Park Gymkhana, hasNotableAlumni, Vijay Manjrekar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vijay Manjrekar Context triple: [Shivaji Park Gymkhana, hasNotableAlumni, Vijay Manjrekar]
-
A.
Vijay Manjrekar
chosen
Vijay Manjrekar was a prominent Indian middle-order batsman of the 1950s and 1960s, known for his technical skill and resilience in Test cricket.
-
B.
Sanjay Manjrekar
Sanjay Manjrekar is a former Indian international cricketer and middle-order batsman who later became a prominent cricket commentator and analyst.
-
C.
Dilip Vengsarkar
Dilip Vengsarkar is a former Indian cricketer and elegant right-handed batsman who was one of the mainstays of India’s batting lineup in the late 1970s and 1980s.
-
D.
Sachin Khedekar
Sachin Khedekar is an Indian film and television actor known for his versatile performances in Hindi and Marathi cinema.
-
E.
Ajit Agarkar
Ajit Agarkar is a former Indian cricketer and fast bowler known for his impactful performances in both One Day Internationals and Tests, as well as his later role as a national selector.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee88515874819085e251c0d297a587 |
completed | April 26, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:26 p.m.