Triple

T13838375
Position Surface form Disambiguated ID Type / Status
Subject Sergio Agüero E332588 entity
Predicate familyName P18 FINISHED
Object Agüero E332588 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: Agüero | Statement: [Sergio Agüero, familyName, Agüero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agüero
Context triple: [Sergio Agüero, familyName, Agüero]
  • A. Estévez
    Estévez is the original Spanish family name of actor Martin Sheen, also shared by several of his children in the entertainment industry.
  • B. Diego Milito
    Diego Milito is a retired Argentine striker best known for his prolific goal-scoring and decisive performances for clubs like Inter Milan and the Argentina national team.
  • C. Suárez
    Suárez is a common Spanish-language surname borne by numerous notable figures across politics, sports, arts, and literature in the Hispanic world.
  • D. Suárez
    Suárez is a municipality in Colombia, likely located near Flandes in the Tolima region.
  • E. Sergio Agüero chosen
    Sergio Agüero is an Argentine former professional footballer renowned as one of the Premier League’s greatest strikers, particularly for his prolific goal-scoring career at Manchester City.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ac6b7c81908d44632d6d628339 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ed7e8c81909ffed37f5b097188 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:13 p.m.