Triple

T9162760
Position Surface form Disambiguated ID Type / Status
Subject Jeremiah O’Driscoll E219865 entity
Predicate hasNotableCreditAs P29681 FINISHED
Object editor of The Polar Express 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: editor of The Polar Express | Statement: [Jeremiah O’Driscoll, hasNotableCreditAs, editor of The Polar Express]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableCreditAs
Context triple: [Jeremiah O’Driscoll, hasNotableCreditAs, editor of The Polar Express]
  • A. hasNotableCredit chosen
    Indicates that an entity is recognized for having a significant or noteworthy contribution, role, or acknowledgment associated with it.
  • B. hasNotableReputation
    Indicates that an entity is widely recognized or distinguished for a particular quality, achievement, or characteristic.
  • C. hasCredit
    Indicates that an entity possesses or is assigned a credit, such as financial credit, academic credit, or acknowledgment for a contribution.
  • D. hasCreditRating
    Indicates that an entity is assigned a formal assessment of its creditworthiness, typically expressed as a credit score or rating.
  • E. hasNotableDocument
    Indicates that an entity is associated with a document that is considered significant, noteworthy, or of particular importance.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2c1a9881909b7100b6e436386d completed April 1, 2026, 5:16 a.m.
PD Predicate disambiguation batch_69cc6605c6808190a30d92da006206ac completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:21 p.m.