Triple

T11638935
Position Surface form Disambiguated ID Type / Status
Subject Creighton Hale E276605 entity
Predicate spouse P13 FINISHED
Object Victoria Forde
Victoria Forde was a silent film actress best known for her work in early 20th-century American comedies.
E963513 NE FINISHED

How this triple was built (4 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: Victoria Forde | Statement: [Creighton Hale, spouse, Victoria Forde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Forde
Context triple: [Creighton Hale, spouse, Victoria Forde]
  • A. Victoria Holbrook
    Victoria Holbrook is a scholar and translator best known for her influential work on Turkish literature and literary theory.
  • B. Victoria Ward
    Victoria Ward was a British actress best known for her stage and screen work and for her long marriage to actor Alan Bates.
  • C. Deirdre Beddoe
    Deirdre Beddoe is a Welsh historian and academic known for her influential work on the history and representation of Welsh women.
  • D. Fiona Caldwell
    Fiona Caldwell is a television executive producer known for her work on the documentary travel series "Great American Railroad Journeys."
  • E. Victoria Prentis
    Victoria Prentis is a British Conservative Party politician and government minister who has served as the Member of Parliament for Banbury since 2015.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Victoria Forde
Triple: [Creighton Hale, spouse, Victoria Forde]
Generated description
Victoria Forde was a silent film actress best known for her work in early 20th-century American comedies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Victoria Forde
Target entity description: Victoria Forde was a silent film actress best known for her work in early 20th-century American comedies.
  • A. Victoria Holbrook
    Victoria Holbrook is a scholar and translator best known for her influential work on Turkish literature and literary theory.
  • B. Victoria Ward
    Victoria Ward was a British actress best known for her stage and screen work and for her long marriage to actor Alan Bates.
  • C. Deirdre Beddoe
    Deirdre Beddoe is a Welsh historian and academic known for her influential work on the history and representation of Welsh women.
  • D. Fiona Caldwell
    Fiona Caldwell is a television executive producer known for her work on the documentary travel series "Great American Railroad Journeys."
  • E. Victoria Prentis
    Victoria Prentis is a British Conservative Party politician and government minister who has served as the Member of Parliament for Banbury since 2015.
  • F. None of above. chosen

Provenance (5 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25e90c08190b7fb73939a2be3d7 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f631efb4819096ad6ee0c87fa7a7 completed May 2, 2026, 1:03 p.m.
NEDg Description generation batch_69f5fe53d47c8190896a9abf8cc4bc31 completed May 2, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc563a08190b95db768df475a3a completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:39 p.m.