Triple

T33189991
Position Surface form Disambiguated ID Type / Status
Subject Professor Faber E849574 entity
Predicate secretlyPreserves P176161 FINISHED
Object books 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: books | Statement: [Professor Faber, secretlyPreserves, books]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secretlyPreserves
Context triple: [Professor Faber, secretlyPreserves, books]
  • A. keepsSecretAbout
    Indicates that one entity intentionally withholds or conceals information regarding another specified entity or topic from others.
  • B. secretlyIs
    Indicates that one entity possesses a hidden or undisclosed identity, role, or attribute in relation to another entity.
  • C. secretes
    Indicates that one entity produces and releases a substance from within itself into its surrounding environment or another entity.
  • D. secretive
    Indicates that an entity deliberately withholds information or conceals its thoughts, actions, or intentions from others.
  • E. secretedBy
    Indicates that a substance or product is released or produced by a particular cell, tissue, organ, or organism.
  • 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_69f3495e0f108190a6a7006f79f9c2c3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6dd3cc0648190a275812d6711275a completed May 3, 2026, 5:29 a.m.
PD Predicate disambiguation batch_69f6d82eaee081908f06a71546315aea completed May 3, 2026, 5:07 a.m.
PDg Predicate description generation batch_69f6dd3b335481909e24d4eb5b0269f9 completed May 3, 2026, 5:29 a.m.
Created at: May 1, 2026, 1:29 a.m.