Triple

T3536280
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Aniston as Dr. Julia Harris E74779 entity
Predicate powerDynamic P11990 FINISHED
Object abusiveBoss 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: abusiveBoss | Statement: [Jennifer Aniston as Dr. Julia Harris, powerDynamic, abusiveBoss]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powerDynamic
Context triple: [Jennifer Aniston as Dr. Julia Harris, powerDynamic, abusiveBoss]
  • A. powerBy
    Indicates that one entity operates, functions, or is made possible through the energy, resources, or enabling capabilities provided by another entity.
  • B. powerDirection chosen
    Indicates the direction in which power, influence, or control flows from one entity to another.
  • C. powerBudget
    Indicates the allocated or allowable amount of power that can be used or consumed by an entity or system within specified limits.
  • D. inPower
    Indicates that one entity currently holds governing authority, control, or leadership over a group, organization, or domain.
  • E. realPower
    Indicates that an entity possesses genuine, effective control or influence over another entity or situation, beyond nominal or formal authority.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc7b92481908d2d99948780f4d0 completed March 8, 2026, 6:15 p.m.
PD Predicate disambiguation batch_69adae13ab808190a5d6ecdc7543445e completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:20 p.m.