Triple

T23730143
Position Surface form Disambiguated ID Type / Status
Subject Ham on Rye E586387 entity
Predicate hasAlterEgoOfAuthor P86336 FINISHED
Object Henry Chinaski NE NERFINISHED

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: Henry Chinaski | Statement: [Ham on Rye, hasAlterEgoOfAuthor, Henry Chinaski]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAlterEgoOfAuthor
Context triple: [Ham on Rye, hasAlterEgoOfAuthor, Henry Chinaski]
  • A. hasFictionalAlterEgoOf chosen
    Indicates that one entity is the fictional alter ego, persona, or alternate identity of another entity.
  • B. hasAuthorAlias
    Indicates that an entity (such as a person or author record) is known by an alternative name or pseudonym used as an author.
  • C. basedOnAuthorPseudonym
    Indicates that something is derived from, inspired by, or determined using an author's pseudonym rather than their real name.
  • D. revealedAsPseudonymIn
    Indicates that one identity or name is disclosed or recognized as a pseudonym within a particular context, work, or source.
  • E. pseudonymCoinedBy
    Indicates that a particular pseudonym was created or invented by a specific agent or source.
  • 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_69e24907dc9c8190be074c9c96a0ec2d completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b9180bf48190a6c3656ef0530463 completed April 29, 2026, 7:54 a.m.
PD Predicate disambiguation batch_69f155e4b1148190836ede4741dcb888 completed April 29, 2026, 12:50 a.m.
Created at: April 17, 2026, 7:09 p.m.