Triple
T5779560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Tendulkar |
E127522
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Anjali Tendulkar |
E126540
|
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: Anjali Tendulkar | Statement: [Sara Tendulkar, mother, Anjali Tendulkar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anjali Tendulkar Context triple: [Sara Tendulkar, mother, Anjali Tendulkar]
-
A.
Anjali Tendulkar
chosen
Anjali Tendulkar is an Indian pediatrician best known as the wife of legendary cricketer Sachin Tendulkar.
-
B.
Sara Tendulkar
Sara Tendulkar is an Indian public figure and social media personality best known as the daughter of legendary cricketer Sachin Tendulkar.
-
C.
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.
-
D.
Supriya Sule
Supriya Sule is an Indian politician and prominent leader from Maharashtra, known for her role as a senior member of the Nationalist Congress Party and her tenure as a Member of Parliament in the Lok Sabha.
-
E.
Persis Khambatta
Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029e26ff88190b7f8eb03bcd30dc6 |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11ca837848190aace9f7d6109bff7 |
completed | March 23, 2026, 10:57 a.m. |
Created at: March 22, 2026, 3:50 p.m.