Triple

T16124749
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Lynn E391237 entity
Predicate performedIn P795 FINISHED
Object Four Mothers E319612 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 Mothers | Statement: [Jeffrey Lynn, performedIn, Four Mothers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Four Mothers
Context triple: [Jeffrey Lynn, performedIn, Four Mothers]
  • A. Four Mothers chosen
    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.
  • B. The Many Mothers
    The Many Mothers is a matriarchal group of women in the Mad Max universe who inhabit and lead the Green Place, a once-fertile oasis.
  • C. A Mother
    "A Mother" is a short story by James Joyce, included in his collection Dubliners, that portrays an ambitious Irish woman's social aspirations and frustrations within early 20th-century Dublin society.
  • D. The American Mother
    "The American Mother" is a related work to "The American Father," likely a companion piece exploring motherhood and family roles in American society.
  • E. That Mothers Might Live
    That Mothers Might Live is a 1938 American short documentary film highlighting advances in maternal healthcare and the work of Dr. Ignaz Semmelweis, which won an Academy Award for Best Short Subject (One-Reel).
  • 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.