Triple
T16608776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naval Tata |
E403510
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Jimmy Tata |
E1222741
|
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: Jimmy Tata | Statement: [Naval Tata, hasChild, Jimmy Tata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Tata Context triple: [Naval Tata, hasChild, Jimmy Tata]
-
A.
Jimmy Tata
chosen
Jimmy Tata is a member of the prominent Tata family of Indian industrialists and philanthropists.
-
B.
Ramon Tikaram
Ramon Tikaram is a British actor known for his work in television, film, and theatre, including prominent roles in UK drama series.
-
C.
Viju Khote
Viju Khote was an Indian character actor best known for his comic and supporting roles in Hindi cinema and television, including the iconic role of Kalia in the film "Sholay."
-
D.
Vaz Pinto
Vaz Pinto is a Portuguese surname associated with figures such as Catarina de Almeida Vaz Pinto, a notable cultural and political personality in Portugal.
-
E.
Hal Pereira
Hal Pereira was a prominent American art director and production designer known for his influential visual work on numerous classic Hollywood films.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36094920881908051eb0a52e08440 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dad10ec8190b41d82b38fcd4dae |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.