Triple

T16537955
Position Surface form Disambiguated ID Type / Status
Subject Robert Sisk E401741 entity
Predicate workedOn P3 FINISHED
Object Bachelor Mother E57919 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: Bachelor Mother | Statement: [Robert Sisk, workedOn, Bachelor Mother]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bachelor Mother
Context triple: [Robert Sisk, workedOn, Bachelor Mother]
  • A. Bachelor Mother chosen
    Bachelor Mother is a 1939 romantic comedy film starring Ginger Rogers as a salesgirl who is mistakenly believed to be the mother of an abandoned baby.
  • B. the Mother
    The Mother is one of the seven deities in the Faith of the Seven, revered as a compassionate, nurturing figure who embodies mercy, fertility, and protection.
  • C. Mother and Teacher
    Mother and Teacher is the English title of Pope John XXIII’s 1961 social encyclical Mater et Magistra, which addresses the Church’s role in promoting social justice and human dignity in modern society.
  • D. Mamistra
    Mamistra is an ancient city in Cilicia, historically known as Mopsuestia, which served as an important regional center in the Hellenistic, Roman, and Byzantine periods.
  • E. Other Mother
    Other Mother is the sinister, button-eyed antagonist from Neil Gaiman's "Coraline," who lures children into a deceptive parallel world.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34559ca948190a9eb810b9b3be079 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067aafee48190a0652fb4fac04a5b completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.