Triple

T27089688
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles medical practice of Oceanside Wellness / Seaside Health and Wellness E686128 entity
Predicate hasFictionalCoFounder P181730 FINISHED
Object Sam Bennett NE NERFINISHED

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: Sam Bennett | Statement: [Los Angeles medical practice of Oceanside Wellness / Seaside Health and Wellness, hasFictionalCoFounder, Sam Bennett]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalCoFounder
Context triple: [Los Angeles medical practice of Oceanside Wellness / Seaside Health and Wellness, hasFictionalCoFounder, Sam Bennett]
  • A. foundedByFictional
    Indicates that an entity (such as an organization, place, or group) was established or created by a fictional character or entity.
  • B. hasFictionalProducer
    Indicates that an entity is associated with a producer who exists only as a fictional or imaginary character, not a real person.
  • C. hasFictionalCoStar
    Indicates that one entity appears as a co-star alongside another entity within a fictional work or narrative.
  • D. hasFictionalSpokesperson
    Indicates that an entity is represented or promoted by a spokesperson who is a fictional or imaginary character.
  • E. hasFictionalStaffMember
    Indicates that an entity includes or employs a staff member who is a fictional character.
  • F. None of above. chosen

Provenance (4 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_69ef148940ec819097b5c20fbfbf7c81 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f7824dc3f0819092a5102895b4a478 completed May 3, 2026, 5:13 p.m.
PD Predicate disambiguation batch_69f780fc5ed88190b7200ee5a29940af completed May 3, 2026, 5:08 p.m.
PDg Predicate description generation batch_69f7817c79e081908e685c48165e086b completed May 3, 2026, 5:10 p.m.
Created at: April 27, 2026, 8:40 a.m.