Triple

T16786045
Position Surface form Disambiguated ID Type / Status
Subject Dick Curtis E407977 entity
Predicate name P16 FINISHED
Object Dick Curtis E407977 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: Dick Curtis | Statement: [Dick Curtis, name, Dick Curtis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick Curtis
Context triple: [Dick Curtis, name, Dick Curtis]
  • A. Dick Curtis chosen
    Dick Curtis was an American character actor known for his numerous supporting roles in B-movies and serials during the 1930s and 1940s, often portraying villains in Westerns and adventure films.
  • B. Michael Daves
    Michael Daves is an American bluegrass and roots musician known for his high-energy vocal style and collaborations with prominent artists such as mandolinist Chris Thile.
  • C. Greg Curtis
    Greg Curtis is a songwriter best known for co-writing Christina Aguilera’s pop single "Not Myself Tonight."
  • D. Michael Klingensmith
    Michael Klingensmith is an American media executive best known for helping launch and lead major magazine brands, including playing a key role in the creation of Entertainment Weekly.
  • E. Donald Curtis
    Donald Curtis was an American actor and occasional writer best known for his roles in mid-20th-century science fiction and adventure films.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21a52ac8190b4374aa0fc45683a completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab07bdcc819086479178e5b8b679 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.