Triple

T6878429
Position Surface form Disambiguated ID Type / Status
Subject Gerardo Martino E158730 entity
Predicate nickname P55 FINISHED
Object Tata E559761 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: Tata | Statement: [Gerardo Martino, nickname, Tata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tata
Context triple: [Gerardo Martino, nickname, Tata]
  • A. Tata chosen
    Tata is the nickname of Gerardo "Tata" Martino, an Argentine football manager and former player known for coaching top clubs and national teams, including FC Barcelona, Argentina, and Mexico.
  • B. Tata
    Tata is a small town and oasis in southern Morocco, known as a gateway to the Anti-Atlas mountains and the surrounding desert landscapes.
  • C. Tata
    Tata is a historic Hungarian town in Komárom-Esztergom County known for its lakes, castles, and natural surroundings.
  • D. Tata Motors
    Tata Motors is a major Indian multinational automotive manufacturer known for producing a wide range of passenger and commercial vehicles and for owning the luxury car brand Jaguar Land Rover.
  • E. Avanti
    Avanti was an ancient Indian kingdom and cultural region centered around the city of Ujjain, prominent in early historical and religious traditions of the Indian subcontinent.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8e498bc81908b2fbe0c6a8b95b7 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742c2b81881909bd13df0d6028cc6 completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.