Triple

T12249888
Position Surface form Disambiguated ID Type / Status
Subject Gymnorhina tibicen E291943 entity
Predicate recognizesHumans P85257 FINISHED
Object can recognize individual human faces 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: can recognize individual human faces | Statement: [Gymnorhina tibicen, recognizesHumans, can recognize individual human faces]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recognizesHumans
Context triple: [Gymnorhina tibicen, recognizesHumans, can recognize individual human faces]
  • A. recognizesIndividual chosen
    Indicates that one entity identifies or acknowledges the identity or presence of a specific individual.
  • B. facesChallenge
    Indicates that an entity is confronted with a difficulty, obstacle, or demanding situation that must be dealt with or overcome.
  • C. currentRecognition
    Indicates the recognition or acknowledgment an entity presently receives, such as awards, honors, or formal status it currently holds.
  • D. recognitionStatus
    Indicates the current state or outcome of acknowledging, validating, or officially accepting something or someone.
  • E. hasProcessOfRecognition
    Indicates that one entity is involved in or characterized by a process of recognizing, identifying, or acknowledging another entity or condition.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d38ee10819093ed41d2954bf4ef completed April 10, 2026, 3:54 p.m.
PD Predicate disambiguation batch_69d91c46dcd88190a263db30804bff36 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:52 p.m.