Triple

T9232919
Position Surface form Disambiguated ID Type / Status
Subject Brooks E221862 entity
Predicate hasNotableBearer P458 FINISHED
Object Lawrence Brooks
Lawrence Brooks was an American supercentenarian best known as the oldest known U.S. World War II veteran.
 E786140 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: Lawrence Brooks | Statement: [Brooks, hasNotableBearer, Lawrence Brooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lawrence Brooks
Context triple: [Brooks, hasNotableBearer, Lawrence Brooks]
  • A. Lawrence Foster
    Lawrence Foster is an American conductor renowned for his interpretations of Romantic and 20th-century repertoire and his leadership of major orchestras worldwide.
  • B. Ronald Brooks
    Ronald Brooks is a songwriter best known for his work on the hit track "I Get Around."
  • C. Lawrence Guth
    Lawrence Guth is an American mathematician known for his influential work in harmonic analysis, combinatorial geometry, and incidence geometry.
  • D. Lawrence Smith
    Lawrence Smith is one of the children of bestselling adventure novelist Wilbur Smith.
  • E. Lawrence Gordon
    Lawrence Gordon is an American film producer known for his work on major Hollywood action, horror, and fantasy films, including the Hellboy series.
  • 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: Lawrence Brooks
Triple: [Brooks, hasNotableBearer, Lawrence Brooks]
Generated description
Lawrence Brooks was an American supercentenarian best known as the oldest known U.S. World War II veteran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lawrence Brooks
Target entity description: Lawrence Brooks was an American supercentenarian best known as the oldest known U.S. World War II veteran.
  • A. Lawrence Foster
    Lawrence Foster is an American conductor renowned for his interpretations of Romantic and 20th-century repertoire and his leadership of major orchestras worldwide.
  • B. Ronald Brooks
    Ronald Brooks is a songwriter best known for his work on the hit track "I Get Around."
  • C. Lawrence Guth
    Lawrence Guth is an American mathematician known for his influential work in harmonic analysis, combinatorial geometry, and incidence geometry.
  • D. Lawrence Smith
    Lawrence Smith is one of the children of bestselling adventure novelist Wilbur Smith.
  • E. Lawrence Gordon
    Lawrence Gordon is an American film producer known for his work on major Hollywood action, horror, and fantasy films, including the Hellboy series.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1a7e9881908e0c11f242162017 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077bb5b10819083fd2de3ed7d69a4 completed April 4, 2026, 2:30 a.m.
NEDg Description generation batch_69d079227348819083cc2c1bb36831f0 completed April 4, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_69d07980eb1481909450ec1e6537587f completed April 4, 2026, 2:37 a.m.
Created at: March 30, 2026, 7:29 p.m.