Triple

T201148
Position Surface form Disambiguated ID Type / Status
Subject Fay Wray E4506 entity
Predicate familyName P18 FINISHED
Object Wray
Wray is the surname of Fay Wray, the Canadian-American actress best known for her iconic role in the classic 1933 film "King Kong."
 E26900 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: Wray | Statement: [Fay Wray, familyName, Wray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wray
Context triple: [Fay Wray, familyName, Wray]
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Cockburn
    Cockburn is a Scottish surname historically associated with various notable figures in British military, political, and cultural life.
  • C. Leatherhead
    Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
  • D. Kinghorn
    Kinghorn is a coastal town in Fife, Scotland, situated on the north shore of the Firth of Forth and known historically as a royal burgh and seaside resort.
  • E. Whitfield
    Whitfield is an English-origin surname historically associated with figures such as Louise Whitfield Carnegie, the wife of industrialist and philanthropist Andrew Carnegie.
  • 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: Wray
Triple: [Fay Wray, familyName, Wray]
Generated description
Wray is the surname of Fay Wray, the Canadian-American actress best known for her iconic role in the classic 1933 film "King Kong."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wray
Target entity description: Wray is the surname of Fay Wray, the Canadian-American actress best known for her iconic role in the classic 1933 film "King Kong."
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Cockburn
    Cockburn is a Scottish surname historically associated with various notable figures in British military, political, and cultural life.
  • C. Leatherhead
    Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
  • D. Kinghorn
    Kinghorn is a coastal town in Fife, Scotland, situated on the north shore of the Firth of Forth and known historically as a royal burgh and seaside resort.
  • E. Whitfield
    Whitfield is an English-origin surname historically associated with figures such as Louise Whitfield Carnegie, the wife of industrialist and philanthropist Andrew Carnegie.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25be47ea881909c296b30a0d47a65 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a332c7afc48190a65c7e71260c84b4 completed Feb. 28, 2026, 6:24 p.m.
NEDg Description generation batch_69a333db134881909dc3449ddb328de6 completed Feb. 28, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_69a3341c18c48190970fa40501d9b6fc completed Feb. 28, 2026, 6:29 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.