Triple

T33354951
Position Surface form Disambiguated ID Type / Status
Subject Tony E854045 entity
Predicate teacherInScene P176538 FINISHED
Object Maria Callas NE NERFINISHED

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: Maria Callas | Statement: [Tony, teacherInScene, Maria Callas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: teacherInScene
Context triple: [Tony, teacherInScene, Maria Callas]
  • A. teacherInText
    Indicates that an entity functions as a teacher within the context or narrative of a given text.
  • B. teacherOrInfluence
    Indicates that one entity serves as a teacher to, or has a significant influence on the development, behavior, or thinking of, another entity.
  • C. roleWithTeacher
    Indicates a relationship where one entity holds a specific role or position in relation to a teacher.
  • D. isTaughtTo
    Indicates that some knowledge, skill, or subject is being instructed or conveyed by a teacher or source to a learner or recipient.
  • E. hasTeacher
    Indicates that one entity serves as an instructor or educator for another entity.
  • F. None of above. chosen

Provenance (4 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_69f3496acbc8819099fd0305ecc42080 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e3156ea48190b604e414665ef351 completed May 3, 2026, 5:54 a.m.
PD Predicate disambiguation batch_69f6de0b9ba48190887c9eb5d06a2e94 completed May 3, 2026, 5:32 a.m.
PDg Predicate description generation batch_69f6e312d7fc819094dec41810f2585d completed May 3, 2026, 5:54 a.m.
Created at: May 1, 2026, 1:34 a.m.