Triple

T19653496
Position Surface form Disambiguated ID Type / Status
Subject Lamont E471874 entity
Predicate hasNotableBearer P458 FINISHED
Object Michèle Lamont
Michèle Lamont is a Canadian-born sociologist and Harvard professor renowned for her work on cultural sociology, social inequality, and the construction of moral boundaries.
E1387783 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: Michèle Lamont | Statement: [Lamont, hasNotableBearer, Michèle Lamont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michèle Lamont
Context triple: [Lamont, hasNotableBearer, Michèle Lamont]
  • A. Corine George-Massicote
    Corine George-Massicote is a British Virgin Islands politician who serves as Speaker of the House of Assembly.
  • B. Hortense Bellah
    Hortense Bellah was the wife of American Western author and screenwriter James Warner Bellah.
  • C. Brigitte Bourgeois
    Brigitte Bourgeois is a Canadian politician who served as a member of the National Assembly of Quebec.
  • D. Paulette Morisset
    Paulette Morisset is known primarily as the daughter of André Morisset.
  • E. Valérie Létard
    Valérie Létard is a French centrist politician who has served in various governmental and parliamentary roles, notably in social and environmental policy.
  • 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: Michèle Lamont
Triple: [Lamont, hasNotableBearer, Michèle Lamont]
Generated description
Michèle Lamont is a Canadian-born sociologist and Harvard professor renowned for her work on cultural sociology, social inequality, and the construction of moral boundaries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michèle Lamont
Target entity description: Michèle Lamont is a Canadian-born sociologist and Harvard professor renowned for her work on cultural sociology, social inequality, and the construction of moral boundaries.
  • A. Corine George-Massicote
    Corine George-Massicote is a British Virgin Islands politician who serves as Speaker of the House of Assembly.
  • B. Hortense Bellah
    Hortense Bellah was the wife of American Western author and screenwriter James Warner Bellah.
  • C. Brigitte Bourgeois
    Brigitte Bourgeois is a Canadian politician who served as a member of the National Assembly of Quebec.
  • D. Paulette Morisset
    Paulette Morisset is known primarily as the daughter of André Morisset.
  • E. Valérie Létard
    Valérie Létard is a French centrist politician who has served in various governmental and parliamentary roles, notably in social and environmental policy.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641442994819085a7d9562bf0bdcd completed April 20, 2026, 3:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077ef165b48190894f4ba843d7bcb4 completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a078103746c8190aa687e483fef12e7 completed May 15, 2026, 8:24 p.m.
NED2 Entity disambiguation (via description) batch_6a078216845c8190b58bfa09180aeb8f completed May 15, 2026, 8:29 p.m.
Created at: April 10, 2026, 1:44 p.m.