Triple

T866191
Position Surface form Disambiguated ID Type / Status
Subject Luce E18706 entity
Predicate hasNotableBearer P458 FINISHED
Object Robert Luce
Robert Luce was an American politician and author who served as a U.S. Representative from Massachusetts in the early 20th century.
 E136263 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: Robert Luce | Statement: [Luce, hasNotableBearer, Robert Luce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Robert Luce
Context triple: [Luce, hasNotableBearer, Robert Luce]
  • A. George Gittoes
    George Gittoes is an Australian artist and filmmaker renowned for his powerful depictions of war and social injustice.
  • B. Walter Powell
    Walter Powell was an American entrepreneur best known as the founder of Powell’s City of Books, one of the world’s largest independent bookstores in Portland, Oregon.
  • C. Gerald Templer
    Gerald Templer was a British field marshal best known for his leadership in counterinsurgency and colonial military campaigns, particularly in Southeast Asia.
  • D. Lloyd Bryce
    Lloyd Bryce was an American editor, politician, and diplomat best known for his influential leadership of the North American Review in the late 19th century.
  • E. John L. Lumley
    John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
  • 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: Robert Luce
Triple: [Luce, hasNotableBearer, Robert Luce]
Generated description
Robert Luce was an American politician and author who served as a U.S. Representative from Massachusetts in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Robert Luce
Target entity description: Robert Luce was an American politician and author who served as a U.S. Representative from Massachusetts in the early 20th century.
  • A. George Gittoes
    George Gittoes is an Australian artist and filmmaker renowned for his powerful depictions of war and social injustice.
  • B. Walter Powell
    Walter Powell was an American entrepreneur best known as the founder of Powell’s City of Books, one of the world’s largest independent bookstores in Portland, Oregon.
  • C. Gerald Templer
    Gerald Templer was a British field marshal best known for his leadership in counterinsurgency and colonial military campaigns, particularly in Southeast Asia.
  • D. Lloyd Bryce
    Lloyd Bryce was an American editor, politician, and diplomat best known for his influential leadership of the North American Review in the late 19th century.
  • E. John L. Lumley
    John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac7cb1888190a46c16b30256451b completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac762e945c8190a4716a2115689b20 completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac76cf3c34819082dcbe772db7c46b completed March 7, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_69ac77670fa08190827ef34ba9d52a70 completed March 7, 2026, 7:07 p.m.
Created at: March 1, 2026, 7:39 p.m.