Triple

T270174
Position Surface form Disambiguated ID Type / Status
Subject Holmes E5614 entity
Predicate hasNotableFictionalBearer P7927 FINISHED
Object Mycroft Holmes E5614 NE 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: Mycroft Holmes | Statement: [Holmes, hasNotableFictionalBearer, Mycroft Holmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mycroft Holmes
Context triple: [Holmes, hasNotableFictionalBearer, Mycroft Holmes]
  • A. Holmes chosen
    Holmes is a common English surname borne by numerous notable figures, including writers, jurists, and fictional characters such as Sherlock Holmes.
  • B. Henry Jones
    Henry Jones was an American character actor known for his distinctive supporting roles in film, television, and theater throughout the mid-20th century.
  • C. Bertram Ramsay
    Bertram Ramsay was a British admiral who played a key role in planning and directing major Allied naval operations during World War II, including the Dunkirk evacuation and the D-Day landings.
  • D. Cyril Proudbottom
    Cyril Proudbottom is a comical, carefree horse character from Disney’s animated adaptation of "The Wind in the Willows" segment in *The Adventures of Ichabod and Mr. Toad*.
  • E. Roland Caulder
    Roland Caulder is an actor known for his role in the film "The Iron Mask."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25db17e8c8190a6ebcadd8a0abf4d completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3949fbdd48190847ef6d7decdc61e completed March 1, 2026, 1:21 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.