Triple

T4382623
Position Surface form Disambiguated ID Type / Status
Subject Woods E99163 entity
Predicate hasNotableBearer P458 FINISHED
Object Henry Woods
Henry Woods is a personal name shared by multiple notable individuals across fields such as politics, law, and the arts.
 E436447 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: Henry Woods | Statement: [Woods, hasNotableBearer, Henry Woods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henry Woods
Context triple: [Woods, hasNotableBearer, Henry Woods]
  • A. Charles Hart
    Charles Hart is a British lyricist best known for writing the lyrics to Andrew Lloyd Webber’s hit musical "The Phantom of the Opera."
  • B. Louis Partridge
    Louis Partridge is a British actor best known for his role as Viscount Tewkesbury in the Netflix mystery film "Enola Holmes."
  • C. Louis Orr
    Louis Orr is an American former professional basketball player and college coach known for his time with the New York Knicks and as head coach at Seton Hall University.
  • D. John Joseph Woods
    John Joseph Woods was a New Zealand schoolteacher and musician best known for composing the music to the national anthem "God Defend New Zealand."
  • E. Leonard Rogers
    Leonard Rogers was a prominent British physician and researcher in tropical medicine, particularly known for his work in India on cholera, dysentery, and kala-azar.
  • 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: Henry Woods
Triple: [Woods, hasNotableBearer, Henry Woods]
Generated description
Henry Woods is a personal name shared by multiple notable individuals across fields such as politics, law, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Henry Woods
Target entity description: Henry Woods is a personal name shared by multiple notable individuals across fields such as politics, law, and the arts.
  • A. Charles Hart
    Charles Hart is a British lyricist best known for writing the lyrics to Andrew Lloyd Webber’s hit musical "The Phantom of the Opera."
  • B. Louis Partridge
    Louis Partridge is a British actor best known for his role as Viscount Tewkesbury in the Netflix mystery film "Enola Holmes."
  • C. Louis Orr
    Louis Orr is an American former professional basketball player and college coach known for his time with the New York Knicks and as head coach at Seton Hall University.
  • D. John Joseph Woods
    John Joseph Woods was a New Zealand schoolteacher and musician best known for composing the music to the national anthem "God Defend New Zealand."
  • E. Leonard Rogers
    Leonard Rogers was a prominent British physician and researcher in tropical medicine, particularly known for his work in India on cholera, dysentery, and kala-azar.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35262649c8190a724c9835cb7ece6 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e523cc5c8190b9884f83d433982c completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5eeadd68881909820a75aaff9d8d5 completed March 14, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69b5ef36f2bc8190a21e0f2fadbdd697 completed March 14, 2026, 11:28 p.m.
Created at: March 12, 2026, 11:18 p.m.