Triple

T10698780
Position Surface form Disambiguated ID Type / Status
Subject Waddy Butler Wood E252214 entity
Predicate givenName P17 FINISHED
Object Waddy
Waddy is a given name most notably borne by the American architect Waddy Butler Wood.
 E880898 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: Waddy | Statement: [Waddy Butler Wood, givenName, Waddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waddy
Context triple: [Waddy Butler Wood, givenName, Waddy]
  • A. Woopi
    Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
  • B. Wiatt
    Wiatt is a given name that functions as a less common spelling variant of the name Wyatt.
  • C. Wardie
    Wardie is a coastal residential area in the northern part of Edinburgh, Scotland, known for its proximity to the Firth of Forth and its traditional stone housing.
  • D. Rowy
    Rowy is a small coastal village in northern Poland known for its seaside tourism and proximity to the Słowiński National Park.
  • E. Cavadee
    Cavadee is a vibrant Tamil Hindu festival in Mauritius marked by elaborate body piercings, colorful wooden kavadi offerings, and processions to temples in devotion to Lord Murugan.
  • 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: Waddy
Triple: [Waddy Butler Wood, givenName, Waddy]
Generated description
Waddy is a given name most notably borne by the American architect Waddy Butler Wood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waddy
Target entity description: Waddy is a given name most notably borne by the American architect Waddy Butler Wood.
  • A. Woopi
    Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
  • B. Wiatt
    Wiatt is a given name that functions as a less common spelling variant of the name Wyatt.
  • C. Wardie
    Wardie is a coastal residential area in the northern part of Edinburgh, Scotland, known for its proximity to the Firth of Forth and its traditional stone housing.
  • D. Rowy
    Rowy is a small coastal village in northern Poland known for its seaside tourism and proximity to the Słowiński National Park.
  • E. Cavadee
    Cavadee is a vibrant Tamil Hindu festival in Mauritius marked by elaborate body piercings, colorful wooden kavadi offerings, and processions to temples in devotion to Lord Murugan.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8a03848190bf68dd470bee103a completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998ed78e481908537ae10d55e6f65 completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8534688190b312b737e0b9cd53 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadcb861a08190bb9f64a91117f35d completed April 11, 2026, 11:43 p.m.
Created at: April 8, 2026, 9:12 p.m.