Triple

T3794750
Position Surface form Disambiguated ID Type / Status
Subject Paul Masson E89742 entity
Predicate familyName P18 FINISHED
Object Masson
Masson is a French surname borne by various notable individuals across fields such as winemaking, literature, and the arts.
E388565 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: Masson | Statement: [Paul Masson, familyName, Masson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masson
Context triple: [Paul Masson, familyName, Masson]
  • A. Masson-Angers
    Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
  • B. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • C. Tournier
    Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
  • D. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • E. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • 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: Masson
Triple: [Paul Masson, familyName, Masson]
Generated description
Masson is a French surname borne by various notable individuals across fields such as winemaking, literature, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Masson
Target entity description: Masson is a French surname borne by various notable individuals across fields such as winemaking, literature, and the arts.
  • A. Masson-Angers
    Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
  • B. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • C. Tournier
    Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
  • D. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • E. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee79db2e88190b3aa2b8e8d885e19 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05c0f908190b5638e75b06dab4d completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f173d66881909301bfc45d10b3d1 completed March 14, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b4f1ecdd788190aebea36578923fad completed March 14, 2026, 5:28 a.m.
Created at: March 9, 2026, 3:15 p.m.