Triple

T5467648
Position Surface form Disambiguated ID Type / Status
Subject International Booker Prize E122751 entity
Predicate awardSplit P29128 FINISHED
Object equally between author and translator 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: equally between author and translator | Statement: [International Booker Prize, awardSplit, equally between author and translator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: awardSplit
Context triple: [International Booker Prize, awardSplit, equally between author and translator]
  • A. awardSharedWith chosen
    Indicates that an award or honor is jointly given to or shared between the subject and the specified co-recipient(s).
  • B. divisionTitleAwarded
    Indicates that a specific title or championship has been awarded within a particular division.
  • C. awardSystem
    Indicates a relationship where an entity establishes or uses a structured scheme for granting awards, honors, or recognitions to others.
  • D. hasSeparateAwardFor
    Indicates that there exists a distinct, dedicated award specifically recognizing the related entity, separate from other general or combined awards.
  • E. awardIncludes
    Indicates that a particular award encompasses, contains, or is composed of the specified component, category, or sub-award.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927c946c8190aef40679199fede3 completed March 20, 2026, 6:31 p.m.
PD Predicate disambiguation batch_69bd91a370a88190b5d17b8a5387138d completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:09 p.m.