Triple
T9909780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunil Chhetri |
E185110
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sunil |
E643500
|
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: Sunil | Statement: [Sunil Chhetri, givenName, Sunil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunil Context triple: [Sunil Chhetri, givenName, Sunil]
-
A.
Sunil
chosen
Sunil is an Indian actor known for his comedic and character roles in Telugu cinema, including a part in the film "Pushpa: The Rise."
-
B.
Suraj Bhan
Suraj Bhan was an Indian archaeologist noted for his work on the Indus Valley Civilization, including early research at the Rakhigarhi site.
-
C.
Sanjay
Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
-
D.
Suresh Krissna
Suresh Krissna is an Indian film director best known for his successful Tamil and Telugu commercial films, including major hits with superstar Rajinikanth.
-
E.
Naveen
Naveen is a male given name commonly used in South Asian cultures, particularly in India.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb51184d08190a0350f2722110811 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20db5979081909b8e292ac6bb7c2f |
completed | April 5, 2026, 7:22 a.m. |
Created at: March 30, 2026, 8:41 p.m.