Triple

T20164873
Position Surface form Disambiguated ID Type / Status
Subject El Macho E491802 entity
Predicate alias P39 FINISHED
Object El Macho 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: El Macho | Statement: [El Macho, alias, El Macho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Macho
Context triple: [El Macho, alias, El Macho]
  • A. El Macho chosen
    El Macho is a bombastic, villainous character from the Despicable Me franchise known for his over-the-top machismo and schemes against Gru.
  • B. Machos
    Machos is a popular Chilean telenovela that gained widespread recognition for its portrayal of a conservative family and its impact on Latin American television drama.
  • C. Macho
    Macho is the ring nickname of Héctor Camacho, a flamboyant and highly skilled Puerto Rican professional boxer known for his speed and showmanship.
  • D. El Matador
    El Matador is the famous nickname of Mexican former football striker Luis Hernández, known for his prolific goal-scoring and standout performances in the late 1990s.
  • E. El Matador
    El Matador is the famous nickname of Argentine football legend Mario Kempes, the prolific striker who starred in Argentina’s 1978 World Cup triumph.
  • 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_69e6684376408190a68890ab48fa5424 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.