Triple

T26535938
Position Surface form Disambiguated ID Type / Status
Subject The 84th NAACP Image Awards (director) E671245 entity
Predicate subjectOfDirection P168059 FINISHED
Object live event television production 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: live event television production | Statement: [The 84th NAACP Image Awards (director), subjectOfDirection, live event television production]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectOfDirection
Context triple: [The 84th NAACP Image Awards (director), subjectOfDirection, live event television production]
  • A. subjectOfDescription
    Indicates that the subject is the main entity being described or characterized in a given context or statement.
  • B. immediateSubjectOf
    Indicates that one entity is the direct grammatical subject of another entity (typically a clause, phrase, or verb), without any intervening subject relations.
  • C. containsDirectionOf
    Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
  • D. directedTo
    Indicates that something is sent, aimed, or addressed toward a particular target or recipient.
  • E. titleSubjectOf
    Indicates that a title (such as a book, article, or work) is about or primarily concerns a particular subject.
  • 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_69eeb3206e748190b90c85cc81f38c91 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f673633d288190b52ceb9f8a057c44 completed May 2, 2026, 9:57 p.m.
PD Predicate disambiguation batch_69f66ec3d3d48190ab2f2b71939e572e completed May 2, 2026, 9:38 p.m.
PDg Predicate description generation batch_69f67256d064819094be04fc1bbbc635 completed May 2, 2026, 9:53 p.m.
Created at: April 27, 2026, 1:38 a.m.