Triple

T7918151
Position Surface form Disambiguated ID Type / Status
Subject David Puddy E183877 entity
Predicate personalityQuirk P37384 FINISHED
Object shows little emotional reaction to breakups 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: shows little emotional reaction to breakups | Statement: [David Puddy, personalityQuirk, shows little emotional reaction to breakups]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: personalityQuirk
Context triple: [David Puddy, personalityQuirk, shows little emotional reaction to breakups]
  • A. associatedCharacterTrait chosen
    Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
  • B. personalityType
    Indicates the specific psychological or behavioral profile that characterizes an entity’s typical patterns of thinking, feeling, and acting.
  • C. popularCultureTrait
    Indicates that an entity exhibits a characteristic, behavior, or element that is commonly recognized or influential within popular culture.
  • D. protagonistCharacteristic
    Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
  • E. hasSupportingCharacterTrait
    Indicates that a supporting character possesses a particular trait, quality, or characteristic.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a8fbbb48190b50def4941761a31 completed March 31, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69cae9316e98819080be7bf1a6ff92f1 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:05 p.m.