Triple

T13505421
Position Surface form Disambiguated ID Type / Status
Subject Moueix family E321002 entity
Predicate generationalInvolvement P63314 FINISHED
Object multi-generational family business LITERAL FINISHED

How this triple was built (2 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: multi-generational family business | Statement: [Moueix family, generationalInvolvement, multi-generational family business]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: generationalInvolvement
Context triple: [Moueix family, generationalInvolvement, multi-generational family business]
  • A. familyInvolvement chosen
    Indicates that there is participation, engagement, or influence of family members in the context of a particular activity, decision, or situation.
  • B. ageGroupInvolved
    Indicates that a particular age group participates in, is affected by, or is otherwise involved in the specified event or relationship.
  • C. typeOfInvolvement
    Indicates the specific role, capacity, or manner in which one entity is involved with or participates in another entity or activity.
  • D. firstGeneration
    Indicates that an entity belongs to the first generation within a defined lineage, sequence, or series relative to other related entities.
  • E. involvesDemographic
    Indicates that an action, event, or entity is related to, affects, or includes a specific demographic group or population segment.
  • F. None of above.

Provenance (3 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf810e248190a060481004503f96 completed April 12, 2026, 2:43 p.m.
PD Predicate disambiguation batch_69dbae0b63748190b5e207f84b2532ea completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:43 p.m.