Triple

T11984788
Position Surface form Disambiguated ID Type / Status
Subject Mike Teavee E285249 entity
Predicate fixation P102733 FINISHED
Object screens 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: screens | Statement: [Mike Teavee, fixation, screens]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fixation
Context triple: [Mike Teavee, fixation, screens]
  • A. fixedBy
    Indicates that one entity is repaired, corrected, or resolved through the action or intervention of another entity.
  • B. typeOfFixing
    Indicates the specific method or manner in which one entity is fastened, attached, or secured to another.
  • C. binding
    Indicates that one entity physically or chemically attaches, adheres, or forms a stable association with another entity.
  • D. traction
    Indicates the degree to which one entity’s movement or influence effectively grips, pulls, or gains momentum relative to another entity or medium.
  • E. resolution
    Indicates the act of formally deciding, settling, or expressing a determined stance on an issue, often through an official decision or statement.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903acbb9081908fe7f8360057785c completed April 10, 2026, 2:05 p.m.
PD Predicate disambiguation batch_69d902abca70819098291aa51b593708 completed April 10, 2026, 2:01 p.m.
PDg Predicate description generation batch_69d903a8695c8190bfa9d7ca50834f9f completed April 10, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:46 p.m.