Triple
T20160610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lalita Shastri |
E491692
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Anil Shastri |
—
|
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: Anil Shastri | Statement: [Lalita Shastri, hasChild, Anil Shastri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anil Shastri Context triple: [Lalita Shastri, hasChild, Anil Shastri]
-
A.
Anil Shastri
chosen
Anil Shastri is an Indian politician from the Indian National Congress and the son of former Prime Minister Lal Bahadur Shastri.
-
B.
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.
-
C.
Gopal Krishna Deodhar
Gopal Krishna Deodhar was an Indian figure of Chitpavan Brahmin background, likely known for his contributions to public life or intellectual pursuits in Maharashtra.
-
D.
Lalit Modi
Lalit Modi is an Indian cricket administrator and businessman best known for creating and launching the Indian Premier League (IPL).
-
E.
Velu Naicker
Velu Naicker is the central gangster-protagonist of the acclaimed Tamil film "Nayakan," loosely inspired by Mumbai underworld don Varadarajan Mudaliar.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e43940819080f6a0b7331aaab0 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.