Triple

T11339617
Position Surface form Disambiguated ID Type / Status
Subject Fast Five E268559 entity
Predicate stars P1956 FINISHED
Object Tego Calderón E282851 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: Tego Calderón | Statement: [Fast Five, stars, Tego Calderón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tego Calderón
Context triple: [Fast Five, stars, Tego Calderón]
  • A. Tego Calderón chosen
    Tego Calderón is a pioneering Puerto Rican reggaeton artist known for blending Afro-Caribbean rhythms with socially conscious lyrics and helping globalize the genre.
  • B. Antonio I. Villarreal
    Antonio I. Villarreal was a Mexican politician and revolutionary leader associated with liberal and reformist movements in early 20th-century Mexico.
  • C. Jorge Bustamante
    Jorge Bustamante is a prominent Mexican sociologist and human rights advocate known for his pioneering work on migration and border issues between Mexico and the United States.
  • D. Pablo Galindo
    Pablo Galindo is a Python core developer and software engineer known for his work on the language’s internals, including co-authoring structural pattern matching (PEP 634) and contributing extensively to CPython.
  • E. Fernando Salmerón
    Fernando Salmerón was a Mexican philosopher and academic known for his contributions to ethics, education, and the development of philosophical thought in Mexico.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea01c6c08190910a6ce8fb7e186d completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49c7ab48c8190a7cf4e6be6aacc12 completed May 1, 2026, 12:28 p.m.
Created at: April 8, 2026, 9:33 p.m.