Triple

T4818754
Position Surface form Disambiguated ID Type / Status
Subject Thomas W. Lamont E107655 entity
Predicate familyName P18 FINISHED
Object Lamont
Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
 E471874 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: Lamont | Statement: [Thomas W. Lamont, familyName, Lamont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lamont
Context triple: [Thomas W. Lamont, familyName, Lamont]
  • A. Lamont
    Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
  • B. Lamont Bentley
    Lamont Bentley was an American actor best known for his role as Hakeem Campbell on the 1990s television sitcom "Moesha."
  • C. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • D. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • E. Vermont-Slauson
    Vermont-Slauson is a predominantly residential and commercial neighborhood in South Los Angeles known for its diverse community and urban character.
  • 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: Lamont
Triple: [Thomas W. Lamont, familyName, Lamont]
Generated description
Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lamont
Target entity description: Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
  • A. Lamont
    Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
  • B. Lamont Bentley
    Lamont Bentley was an American actor best known for his role as Hakeem Campbell on the 1990s television sitcom "Moesha."
  • C. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • D. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • E. Vermont-Slauson
    Vermont-Slauson is a predominantly residential and commercial neighborhood in South Los Angeles known for its diverse community and urban character.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c96f4dc81909e3186159b5c75ab completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dbbfe588190bae0aca210bea2bc completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4f6ceb60819080dc1ee93950a7f0 completed March 21, 2026, 7:57 a.m.
NED2 Entity disambiguation (via description) batch_69be4fbc83188190af2c9767aa9272a7 completed March 21, 2026, 7:58 a.m.
Created at: March 20, 2026, 1:24 p.m.