Triple

T10000016
Position Surface form Disambiguated ID Type / Status
Subject Paul Ekman E197300 entity
Predicate name P16 FINISHED
Object Paul Ekman E197300 NE 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: Paul Ekman | Statement: [Paul Ekman, name, Paul Ekman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Ekman
Context triple: [Paul Ekman, name, Paul Ekman]
  • A. Paul Ekman chosen
    Paul Ekman is an American psychologist renowned for his pioneering research on facial expressions and emotions, particularly in the study of microexpressions and deception detection.
  • B. Peter Salovey
    Peter Salovey is an American social psychologist and academic who served as president of Yale University.
  • C. Stanley Schachter
    Stanley Schachter was an influential American social psychologist best known for his work on the two-factor theory of emotion, social influence, and the effects of anxiety on affiliation.
  • D. James S. Langer
    James S. Langer is an American theoretical physicist known for his work on phase transitions, pattern formation, and the dynamics of nonequilibrium systems.
  • E. Jerome Kagan
    Jerome Kagan was an influential American psychologist and pioneer in developmental psychology, best known for his research on temperament in children and its impact on later behavior.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8dc9c081909b6d20909ada09cf completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a36aadc81909978b71bdb3a6654 completed April 5, 2026, 1:57 p.m.
Created at: March 30, 2026, 8:51 p.m.