Triple

T10343999
Position Surface form Disambiguated ID Type / Status
Subject Richard Thorpe E243695 entity
Predicate notableWork P4 FINISHED
Object The Falcon in Hollywood E625397 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: The Falcon in Hollywood | Statement: [Richard Thorpe, notableWork, The Falcon in Hollywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Falcon in Hollywood
Context triple: [Richard Thorpe, notableWork, The Falcon in Hollywood]
  • A. The Falcon film series chosen
    The Falcon film series is a collection of 1940s American mystery films centered on a suave gentleman detective known as "The Falcon," popular for its lighthearted crime-solving adventures.
  • B. The Falcon and the Snowman
    The Falcon and the Snowman is a 1985 espionage drama film based on a true story about two young Americans who become spies for the Soviet Union during the Cold War.
  • C. Falcon
    Falcon is a family of large language models designed for high-performance text generation and widely used in open-source AI applications.
  • D. Falcon
    The Falcon is a bird of prey known for its exceptional speed, keen vision, and use in the sport of falconry.
  • E. Falcon
    Falcon is a Marvel Comics superhero and member of the Avengers, known for his advanced winged flight suit and partnership with Captain America.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9228cd88190bcd94b85537233c1 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75077dfbc81908de29aac1a3bb19f completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:55 a.m.