Triple

T31596974
Position Surface form Disambiguated ID Type / Status
Subject Rachel Taub E806243 entity
Predicate relationshipToMainCast P124291 FINISHED
Object wife of a member of House’s diagnostic team 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: wife of a member of House’s diagnostic team | Statement: [Rachel Taub, relationshipToMainCast, wife of a member of House’s diagnostic team]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToMainCast
Context triple: [Rachel Taub, relationshipToMainCast, wife of a member of House’s diagnostic team]
  • A. hasMainCastFamilyRelationship
    Indicates that there is a family relationship between members of the main cast in a work (e.g., film, series, or play).
  • B. relatedCastMember
    Indicates that two cast members are connected through a relevant relationship, such as working together on the same production or being otherwise professionally associated.
  • C. hasRelativeInCastOrCrew chosen
    Indicates that at least one member of a work’s cast or crew is a relative of a specified person.
  • D. relationshipRoleInFilm
    Indicates that one entity has a specific relationship-based role (e.g., spouse, sibling, partner) to another entity within the context of a particular film.
  • E. relationshipToCrew
    Indicates the specific familial, professional, or social connection an entity has to a given crew.
  • 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_69f348d54ccc8190a03b5df9a2b40b25 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e7aa0c8190bdc9ee4d54fc821b completed May 12, 2026, 7:05 p.m.
Created at: April 30, 2026, 10:31 p.m.