Triple

T11157760
Position Surface form Disambiguated ID Type / Status
Subject Vincent Mancini E263953 entity
Predicate temperamentComparedTo P41001 FINISHED
Object more impulsive than Michael Corleone 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: more impulsive than Michael Corleone | Statement: [Vincent Mancini, temperamentComparedTo, more impulsive than Michael Corleone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temperamentComparedTo
Context triple: [Vincent Mancini, temperamentComparedTo, more impulsive than Michael Corleone]
  • A. hasTemperament
    Indicates that an entity possesses a particular characteristic style of behavior, mood, or emotional disposition.
  • B. expressivenessComparedTo
    Indicates a comparison of how expressive one entity is relative to another in conveying meaning, emotion, or nuance.
  • C. personalityType
    Indicates the specific psychological or behavioral profile that characterizes an entity’s typical patterns of thinking, feeling, and acting.
  • D. characterContrast chosen
    Indicates a relationship where two characters are compared to highlight their opposing or significantly differing traits, roles, or behaviors.
  • E. emotionalTrait
    Indicates that an entity possesses a particular emotional characteristic, disposition, or affective quality.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e87fe9a881909540ecc4ed9b6b9f completed April 9, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69d75cec26fc8190a5497d186306f935 completed April 9, 2026, 8:01 a.m.
Created at: April 8, 2026, 9:28 p.m.