Triple

T16124747
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Lynn E391237 entity
Predicate performedIn P795 FINISHED
Object Four Daughters E82373 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: Four Daughters | Statement: [Jeffrey Lynn, performedIn, Four Daughters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Four Daughters
Context triple: [Jeffrey Lynn, performedIn, Four Daughters]
  • A. Four Daughters chosen
    Four Daughters is a 1938 American drama film best known for its ensemble cast and for helping solidify John Garfield’s rise to stardom in Hollywood.
  • B. Daughters
    "Daughters" is a Grammy-winning soft rock ballad by John Mayer that reflects on the lasting impact of a father's relationship with his daughter.
  • C. Sons and Daughters
    Sons and Daughters is an Australian television soap opera from the 1980s that follows the intertwined lives and family secrets of two households.
  • D. Four Mothers
    Four Mothers is a 1941 American drama film that continues the story of the Lemp family introduced in Four Daughters and its first sequel, Four Wives.
  • E. Silent Sisters
    The Silent Sisters are a religious order of mute, veiled women in the Faith of the Seven who tend to the dead and prepare bodies for burial in Westeros.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79ecea0819083aa5cb676d49f64 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5 a.m.