Triple

T33853263
Position Surface form Disambiguated ID Type / Status
Subject Nancy Allen as Liz Blake E867691 entity
Predicate romanticOrSexualPartners P181372 FINISHED
Object various clients 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: various clients | Statement: [Nancy Allen as Liz Blake, romanticOrSexualPartners, various clients]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: romanticOrSexualPartners
Context triple: [Nancy Allen as Liz Blake, romanticOrSexualPartners, various clients]
  • A. romanticPartnerLifestyle
    Indicates a romantic partner’s typical way of living, including their habits, values, and day-to-day choices within the relationship context.
  • B. spouseOrLover
    Indicates a romantic partnership between two entities, whether formalized as a spouse or existing as a lover.
  • C. romanticPartnerInSeries
    Indicates that one character is portrayed as a romantic partner of another character within the context of a specific series or narrative.
  • D. relationshipWithMen
    Indicates a relationship or interaction that specifically involves men as one of the parties.
  • E. formerRomanticInterest
    Indicates that one entity previously had a romantic relationship or attraction toward another entity, but that romantic connection has since ended.
  • 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_69f349937b648190a34ada70f6a2b534 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7688dd3d08190ad13d0e780570a1c completed May 3, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69f767fcf2f881908bacc7bfc38e68a5 completed May 3, 2026, 3:21 p.m.
PDg Predicate description generation batch_69f7688cea58819098bdfd7c80df7634 completed May 3, 2026, 3:23 p.m.
Created at: May 1, 2026, 1:47 a.m.