Triple

T14678000
Position Surface form Disambiguated ID Type / Status
Subject Sara Moore E344698 entity
Predicate familyName P18 FINISHED
Object Moore
Moore is a common English-language surname borne by numerous notable individuals across diverse fields such as politics, entertainment, literature, and sports.
 E32614 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: Moore | Statement: [Sara Moore, familyName, Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moore
Context triple: [Sara Moore, familyName, Moore]
  • A. Moore
    Moore is a suburban city in central Oklahoma, located just south of Oklahoma City and known for its history of devastating tornadoes.
  • B. Moore
    Moore is a major Gur language of Burkina Faso and surrounding regions, spoken primarily by the Mossi people.
  • C. Moore
    Moore is a character appearing in the film "Look at Me."
  • D. Moore
    Moore is a small rural town in the Somerset Region of Queensland, Australia, known for its agricultural surroundings and role as a local service centre.
  • E. 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.
  • 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: Moore
Triple: [Sara Moore, familyName, Moore]
Generated description
Moore is a common English-language surname borne by numerous notable individuals across diverse fields such as politics, entertainment, literature, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moore
Target entity description: Moore is a common English-language surname borne by numerous notable individuals across diverse fields such as politics, entertainment, literature, and sports.
  • A. Moore chosen
    Moore is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • 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 given name that served as the middle name of Fred M. Vinson, the 13th Chief Justice of the United States.
  • D. Moore
    Moore is a suburban city in central Oklahoma, located just south of Oklahoma City and known for its history of devastating tornadoes.
  • E. Moore
    Moore is a character appearing in the film "Look at Me."
  • F. None of above.

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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb567c2b88190a9639e61b6fba7df completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde17e5a1c8190b1bf5565eab9d519 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde54010148190b2bb3fcb58032522 completed May 8, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_69fde6291df88190a5414a82e719e47d completed May 8, 2026, 1:33 p.m.
Created at: April 10, 2026, 1:27 a.m.