Triple

T34390327
Position Surface form Disambiguated ID Type / Status
Subject Lisa Houle E882679 entity
Predicate hasWorkedInDepartment P81960 FINISHED
Object sound department 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: sound department | Statement: [Lisa Houle, hasWorkedInDepartment, sound department]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWorkedInDepartment
Context triple: [Lisa Houle, hasWorkedInDepartment, sound department]
  • A. worksInDepartment chosen
    Indicates that an entity is employed in and performs their job duties within a particular department.
  • B. hasWorkedIn
    Indicates that a person has been employed or has performed work within a particular organization, location, or domain for some period of time.
  • C. hasWorkedFor
    Indicates that an entity has been employed by or has provided work or services to another entity.
  • D. basedInDepartment
    Indicates that an entity operates or has its primary affiliation within a specific department.
  • E. worksInDivision
    Indicates that an individual is employed within and belongs to a specific division of an organization.
  • 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_69f349c0219881909393bbbc1edc8161 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fe2f078c24819082ba396b56f02808 completed May 8, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69fe228fe1988190baf3bb34897f3dbe completed May 8, 2026, 5:51 p.m.
Created at: May 1, 2026, 1:59 a.m.