Triple

T1915587
Position Surface form Disambiguated ID Type / Status
Subject Charles Spencer Crowe E40009 entity
Predicate familyName P18 FINISHED
Object Crowe E27255 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: Crowe | Statement: [Charles Spencer Crowe, familyName, Crowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crowe
Context triple: [Charles Spencer Crowe, familyName, Crowe]
  • A. Crowe chosen
    Crowe is the surname of Russell Crowe, the Academy Award–winning actor known for films such as "Gladiator" and "A Beautiful Mind."
  • B. Hawkes
    Hawkes is the surname of Sylvia Ashley, a British model, actress, and socialite known for her high-profile marriages in the early 20th century.
  • C. Nighthawk
    Nighthawk is the radio callsign used by Marine Helicopter Squadron One (HMX-1), the U.S. Marine Corps unit responsible for transporting the President of the United States.
  • D. Hawk
    The Hawk is a bird of prey commonly symbolizing keen vision, strength, and agility, and serves as the mascot for various schools and sports teams.
  • E. Kestrel
    Kestrel is a cross-platform, high-performance web server built into ASP.NET Core for hosting and serving web applications.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e517e8819086e4bf5a305aeb25 completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3da81308190a49844a8ac2997da completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.