Triple

T18878963
Position Surface form Disambiguated ID Type / Status
Subject Matt Williams E461766 entity
Predicate roleInTheOmegaCode P133306 FINISHED
Object cinematographer 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: cinematographer | Statement: [Matt Williams, roleInTheOmegaCode, cinematographer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInTheOmegaCode
Context triple: [Matt Williams, roleInTheOmegaCode, cinematographer]
  • A. roleInTheology
    Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
  • B. roleInGameplay
    Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
  • C. roleInWZRD
    Indicates that an entity holds a specific role or function within the context of WZRD.
  • D. roleInRhyme
    Indicates the specific function or part an entity plays within a rhyme, such as a character, object, or structural element of the rhyming text.
  • E. roleInTauris
    Indicates that an entity has a specific role or function within the context of Tauris (e.g., a work, setting, or domain associated with Tauris).
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d06ef481908bba297d7a1fd011 completed April 20, 2026, 6:12 a.m.
PD Predicate disambiguation batch_69e48d22dde8819093b1d963bd673365 completed April 19, 2026, 8:06 a.m.
PDg Predicate description generation batch_69e4978813d081908eaf25bb727fc6cf completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 11:57 a.m.