Triple

T12875448
Position Surface form Disambiguated ID Type / Status
Subject Matthew Salinger E307953 entity
Predicate sibling P363 FINISHED
Object Margaret Salinger E308811 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: Margaret Salinger | Statement: [Matthew Salinger, sibling, Margaret Salinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Salinger
Context triple: [Matthew Salinger, sibling, Margaret Salinger]
  • A. Margaret Salinger chosen
    Margaret Salinger is an American author and memoirist best known for her book "Dream Catcher," which recounts her life as the daughter of reclusive writer J. D. Salinger.
  • B. Diane Salinger
    Diane Salinger is an American actress known for her character roles in film and television, including appearances in projects like the HBO series "Carnivàle" and the movie "Pee-wee's Big Adventure."
  • C. Claudia Salinger
    Claudia Salinger is a musically gifted, emotionally sensitive younger sister character from the 1990s television drama "Party of Five."
  • 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.