Triple

T12875436
Position Surface form Disambiguated ID Type / Status
Subject Matthew Salinger E307953 entity
Predicate name P16 FINISHED
Object Matthew Salinger E307953 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: Matthew Salinger | Statement: [Matthew Salinger, name, Matthew Salinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Salinger
Context triple: [Matthew Salinger, name, Matthew Salinger]
  • A. Matthew Salinger chosen
    Matthew Salinger is an American actor and producer, known for his role in the 1990 film "Captain America" and as the son and literary executor of author J. D. Salinger.
  • B. Charlie Salinger
    Charlie Salinger is a central character from the television drama "Party of Five," known as the eldest Salinger sibling who must take responsibility for raising his younger brothers and sisters after their parents' death.
  • C. Sol Salinger
    Sol Salinger was the father of renowned American writer J. D. Salinger and a key figure in the author's early family life and background.
  • D. Marie Jillich Salinger
    Marie Jillich Salinger was the mother of American writer J. D. Salinger and a formative influence in his early life.
  • E. Conrad Salinger
    Conrad Salinger was an American arranger and orchestrator renowned for his lush, sophisticated scores for Hollywood musicals during the mid-20th century.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970f97f9c81908c75259a4cab1d3c completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb679f88190a1799b73c3f738b6 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.