Triple

T5214299
Position Surface form Disambiguated ID Type / Status
Subject Leonard McCoy E117710 entity
Predicate backgroundDetail P23245 FINISHED
Object from the U.S. state of Georgia (fictional background) 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: from the U.S. state of Georgia (fictional background) | Statement: [Leonard McCoy, backgroundDetail, from the U.S. state of Georgia (fictional background)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: backgroundDetail
Context triple: [Leonard McCoy, backgroundDetail, from the U.S. state of Georgia (fictional background)]
  • A. typicalBackground
    Indicates that an entity has a usual or commonly expected background, context, or setting associated with it.
  • B. scopeDetail
    Indicates a more specific or refined characterization of the extent, boundaries, or coverage of something within a broader scope.
  • C. socialBackground chosen
    Indicates a relationship where one entity’s social origin, class, or upbringing context is associated with or characterizes another entity.
  • D. layoutDetail
    Indicates the specific arrangement or configuration details of how elements are laid out in relation to each other.
  • E. backgroundComposition
    Indicates that one entity serves as the background or surrounding setting in which another entity is visually or contextually composed.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a911d40819086621537274dc0f0 completed March 20, 2026, 4:49 p.m.
PD Predicate disambiguation batch_69bd77bb4e8c819094b5ac7cf61512f9 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:47 p.m.