Triple

T30504395
Position Surface form Disambiguated ID Type / Status
Subject Sherlock 2 E776226 entity
Predicate hasTitularCharacter P92323 FINISHED
Object Sherlock Holmes 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: Sherlock Holmes | Statement: [Sherlock 2, hasTitularCharacter, Sherlock Holmes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTitularCharacter
Context triple: [Sherlock 2, hasTitularCharacter, Sherlock Holmes]
  • A. titularCharacterOf
    Indicates that one entity is the main or title character featured in the work represented by the other entity.
  • B. hasMainTitleCharacter chosen
    Indicates that a work’s primary or main title is centered on, derived from, or explicitly names a particular character.
  • C. isTitularSeeOf
    Indicates that one ecclesiastical jurisdiction holds the honorary or formal status of being the titular see associated with another entity (such as a bishop or office).
  • D. hasTitleCharacterTrait
    Indicates that a title is associated with a specific character trait of an entity.
  • E. hasIconicCharacter
    Indicates that something is associated with a character widely recognized as emblematic or highly representative of it.
  • 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_69f2249a155c8190b1d512106007e9bb completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69f7cf769338819092a5f42653dcc956 completed May 3, 2026, 10:43 p.m.
Created at: April 29, 2026, 8:15 p.m.