Triple

T21096108
Position Surface form Disambiguated ID Type / Status
Subject "Love, Antosha" E519770 entity
Predicate producer P490 FINISHED
Object Sebastian Pardo E519770 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: Sebastian Pardo | Statement: ["Love, Antosha", producer, Sebastian Pardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebastian Pardo
Context triple: ["Love, Antosha", producer, Sebastian Pardo]
  • A. Sebastian Pardo chosen
    Sebastian Pardo is a film producer known for his work on the documentary "Love, Antosha," which explores the life and legacy of actor Anton Yelchin.
  • B. Pablo Echenique
    Pablo Echenique is a Spanish physicist and politician best known as a prominent member and former spokesperson of the left-wing party Podemos.
  • C. Diego Masson
    Diego Masson was a French conductor and percussionist known for his interpretations of contemporary music and collaborations with leading 20th-century composers.
  • D. Diego Fagúndez
    Diego Fagúndez is a Uruguayan-American professional soccer midfielder known for his long tenure in Major League Soccer, particularly with the New England Revolution and later Austin FC.
  • E. Gonzalo Vivanco
    Gonzalo Vivanco is a Chilean actor known for his roles in Latin American television series and telenovelas.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b595cdc8190ba7a6f3f71d40c3f completed April 21, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c8ea61e88190a81be53e2f5172b9 completed May 17, 2026, 1:55 p.m.
Created at: April 16, 2026, 2:52 p.m.