Triple

T18391022
Position Surface form Disambiguated ID Type / Status
Subject Freddie Page E449725 entity
Predicate romanticPartner P9994 FINISHED
Object Hester Collyer NE NERFINISHED

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: Hester Collyer | Statement: [Freddie Page, romanticPartner, Hester Collyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hester Collyer
Context triple: [Freddie Page, romanticPartner, Hester Collyer]
  • A. Hester Collyer chosen
    Hester Collyer is the emotionally tormented protagonist of Terence Rattigan’s play "The Deep Blue Sea," whose passionate but destructive love affair drives the story’s exploration of desire, despair, and postwar British society.
  • B. Hester Gatty
    Hester Gatty was an English socialite and writer best known as the wife of World War I poet Siegfried Sassoon.
  • C. Mrs. Hester Appleyard
    Mrs. Hester Appleyard is the enigmatic and strict headmistress at the center of the mystery in the television adaptation of "Picnic at Hanging Rock."
  • D. Hester Cooke
    Hester Cooke was a daughter of Mayflower passenger and Plymouth Colony settler Francis Cooke, belonging to one of the early families of colonial New England.
  • E. Hester Shaw
    Hester Shaw is a scarred, fiercely determined young woman and rebel in the Mortal Engines universe, driven by a quest for vengeance against the powerful figures of a predatory, mobile city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e518422e488190bd06fad72efa1641 completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.