Triple

T5623059
Position Surface form Disambiguated ID Type / Status
Subject Maria Maria E147652 entity
Predicate artist P184 FINISHED
Object Santana E146075 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: Santana | Statement: [Maria Maria, artist, Santana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santana
Context triple: [Maria Maria, artist, Santana]
  • A. Santana
    Santana is a municipality on the northern coast of Madeira Island in Portugal, known for its traditional thatched houses and mountainous landscapes.
  • B. Santana (band) chosen
    Santana is a pioneering Latin rock band formed in the late 1960s, best known for its fusion of rock, blues, jazz, and Afro-Latin rhythms and for iconic guitar work by its leader Carlos Santana.
  • C. Konis Santana
    Konis Santana was a prominent East Timorese resistance leader who commanded the FALINTIL guerrilla forces in their struggle against Indonesian occupation.
  • D. Carlos Santana
    Carlos Santana is a Mexican-American guitarist and bandleader renowned for pioneering a fusion of rock, Latin music, and jazz, especially through his work with the band Santana.
  • E. Grupo Caliente
    Grupo Caliente is a Mexican gaming and entertainment company best known for operating casinos, sports betting venues, and owning various sports teams.
  • 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02214b4948190b71a9f59499092f6 completed March 22, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d5da9cc819097281dd6aa405e62 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:40 p.m.