Triple

T17044115
Position Surface form Disambiguated ID Type / Status
Subject John Moores Jr. E413519 entity
Predicate familyName P18 FINISHED
Object Moores
Moores is an English-language surname borne by various notable individuals across fields such as business, sports, and public service.
 E1247633 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: Moores | Statement: [John Moores Jr., familyName, Moores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moores
Context triple: [John Moores Jr., familyName, Moores]
  • A. Moore
    Moore is a major Gur language of Burkina Faso and surrounding regions, spoken primarily by the Mossi people.
  • B. Moore
    Moore is a character appearing in the film "Look at Me."
  • C. Moore
    Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
  • D. Moore
    Moore is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • E. Moore
    Moore is a small village and civil parish in the Borough of Halton in Cheshire, England.
  • 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: Moores
Triple: [John Moores Jr., familyName, Moores]
Generated description
Moores is an English-language surname borne by various notable individuals across fields such as business, sports, and public service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moores
Target entity description: Moores is an English-language surname borne by various notable individuals across fields such as business, sports, and public service.
  • A. Moore
    Moore is a major Gur language of Burkina Faso and surrounding regions, spoken primarily by the Mossi people.
  • B. Moore
    Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
  • C. Moore
    Moore is a small village and civil parish in the Borough of Halton in Cheshire, England.
  • D. Moore
    Moore is a given name that served as the middle name of Fred M. Vinson, the 13th Chief Justice of the United States.
  • E. Moore
    Moore is a suburban city in central Oklahoma, located just south of Oklahoma City and known for its history of devastating tornadoes.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9c112c81908232dc6908d831cf completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233a7e44819096f71f5007b4450f completed May 11, 2026, 12:30 a.m.
NEDg Description generation batch_6a01241510048190ae1c459873f8a587 completed May 11, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0124e389908190b2ee3121be2c9383 completed May 11, 2026, 12:37 a.m.
Created at: April 10, 2026, 5:33 a.m.