Triple

T16163271
Position Surface form Disambiguated ID Type / Status
Subject Augusto Caminito E392230 entity
Predicate collaboratedWith P435 FINISHED
Object Donald Pleasence E144534 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: Donald Pleasence | Statement: [Augusto Caminito, collaboratedWith, Donald Pleasence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Pleasence
Context triple: [Augusto Caminito, collaboratedWith, Donald Pleasence]
  • A. Donald Pleasence chosen
    Donald Pleasence was an English character actor renowned for his intense performances in film and television, including iconic roles in the "Halloween" series and "The Great Escape."
  • B. Michael Kane
    Michael Kane is a creator known for developing the character Stefen Djordjevic.
  • C. Michael Kane
    Michael Kane is a screenwriter best known for writing the 1983 American sports drama film "All the Right Moves."
  • D. Joel Grey
    Joel Grey is an American actor, singer, and dancer best known for his Oscar-winning portrayal of the Master of Ceremonies in the film adaptation of the musical "Cabaret."
  • E. Lance Henriksen
    Lance Henriksen is an American character actor best known for his intense performances in science fiction and horror films such as the Alien franchise and the TV series Millennium.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e616770819093f16c88722b2a7d completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffef96a088190a1c1728288a9c4ef completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.