Triple
T21110177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabbar Patel |
E520150
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jabbar Patel |
—
|
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: Jabbar Patel | Statement: [Jabbar Patel, name, Jabbar Patel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jabbar Patel Context triple: [Jabbar Patel, name, Jabbar Patel]
-
A.
Jabbar Patel
chosen
Jabbar Patel is an acclaimed Indian theatre and film director known for his influential work in Marathi parallel cinema and politically charged stage productions.
-
B.
David Singh
David Singh is a fictional character in DC Comics, best known as the strict but fair director of the Central City Police Department's crime lab and a supporting character in The Flash stories.
-
C.
Samit Dravid
Samit Dravid is the son of former Indian cricket legend Rahul Dravid.
-
D.
Parthiv Patel
Parthiv Patel is a former Indian wicketkeeper-batsman who represented India in all three formats and had a long domestic career in Indian cricket.
-
E.
Harish Sharma
Harish Sharma is a Fijian politician who served as a Deputy Prime Minister of Fiji.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72101f7308190beb202a052ff04d2 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:54 p.m.