Triple

T11571855
Position Surface form Disambiguated ID Type / Status
Subject Robin Bartlett E274406 entity
Predicate workedOn P3 FINISHED
Object Regarding Henry E390594 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: Regarding Henry | Statement: [Robin Bartlett, workedOn, Regarding Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regarding Henry
Context triple: [Robin Bartlett, workedOn, Regarding Henry]
  • A. Regarding Henry chosen
    Regarding Henry is a 1991 drama film in which Harrison Ford plays a ruthless lawyer who must rebuild his life and relationships after a traumatic brain injury.
  • B. ENRY
    ENRY is the ICAO airport code for Moss Airport, Rygge, a former civil and military airport in Rygge, Norway.
  • C. Henry O
    Henry O is a Chinese-American character actor known for his roles in films such as "Romeo Must Die" and "The Last Emperor."
  • D. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • E. Henry
    Henry is the given name of the influential American architect Henry Hobson Richardson, a key figure in 19th-century architecture.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd6913881908becf188c0a7a275 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713d18ccc8190a63256c3cc1c2f59 completed April 21, 2026, 6:06 a.m.
Created at: April 8, 2026, 9:38 p.m.