Triple

T21250792
Position Surface form Disambiguated ID Type / Status
Subject Ted Kramer E523737 entity
Predicate emotionalJourney P85012 FINISHED
Object from self-centeredness to empathy 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: from self-centeredness to empathy | Statement: [Ted Kramer, emotionalJourney, from self-centeredness to empathy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emotionalJourney
Context triple: [Ted Kramer, emotionalJourney, from self-centeredness to empathy]
  • A. emotionalTrajectory chosen
    Indicates how an entity’s emotional state changes or progresses over time in relation to another entity or context.
  • B. emotionalDynamic
    Indicates how emotions, moods, or affective states change, interact, or influence each other between entities over time.
  • C. emotionalChallenge
    Indicates a situation where one entity causes or experiences significant emotional difficulty or stress in relation to another entity or circumstance.
  • D. emotionalCoreOf
    Indicates that one entity serves as the central source, essence, or primary driver of another entity’s emotional character or experience.
  • E. journey
    Indicates that an entity travels or moves from one place or state to another, typically over a period of time or distance.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359da6e08190a96c471463c2388d completed April 21, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69e5f61239708190ab7b3c83ae848a0d completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 3:56 p.m.