Triple

T15989139
Position Surface form Disambiguated ID Type / Status
Subject Porchlight Business Book Award shortlist E387776 entity
Predicate publisherAudience P85592 FINISHED
Object business leaders 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: business leaders | Statement: [Porchlight Business Book Award shortlist, publisherAudience, business leaders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publisherAudience
Context triple: [Porchlight Business Book Award shortlist, publisherAudience, business leaders]
  • A. typicalAudience
    Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
  • B. book3Audience chosen
    Indicates that a particular book is intended for or targeted toward a specific audience.
  • C. secondaryAudience
    Indicates that an entity is a secondary or additional intended audience or target group for another entity (such as a work, message, or product), beyond the primary audience.
  • D. readership
    Indicates the relationship in which one party reads, follows, or is the audience for the written or published work of another.
  • E. writesForAudience
    Indicates that an agent creates written content intended specifically for a particular audience or readership.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4e871c819082d7b1c1eaf5b4fe completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142d9d8e881909b559a3e3ca21d24 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:54 a.m.