Triple

T10440911
Position Surface form Disambiguated ID Type / Status
Subject Godspeed E246164 entity
Predicate sailedWith P880 FINISHED
Object Susan Constant E248921 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: Susan Constant | Statement: [Godspeed, sailedWith, Susan Constant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Constant
Context triple: [Godspeed, sailedWith, Susan Constant]
  • A. Susan Constant chosen
    Susan Constant was one of the three ships that carried English settlers to establish the Jamestown colony in Virginia in 1607.
  • B. Hollis Resnik
    Hollis Resnik was an American actress and singer best known for her acclaimed work in musical theatre and regional stage productions.
  • C. Susanne Shore
    Susanne Shore is an American public figure known primarily as the wife of former Nebraska governor and U.S. Senator Pete Ricketts.
  • D. Leslie Easterbrook
    Leslie Easterbrook is an American actress best known for her role as Sergeant Debbie Callahan in the "Police Academy" film series.
  • E. Carla Brody
    Carla Brody is a fictional character from the "Jaws" film series, known as the wife of police chief Martin Brody and mother of Michael and Sean Brody.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9df6fc8190830f405ef955d64b completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ed6edd88190afd5063daba58a46 completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:15 p.m.