Triple

T12699192
Position Surface form Disambiguated ID Type / Status
Subject Dillon E303411 entity
Predicate hasColleague P398 FINISHED
Object Alan "Dutch" Schaefer E439202 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: Alan "Dutch" Schaefer | Statement: [Dillon, hasColleague, Alan "Dutch" Schaefer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan "Dutch" Schaefer
Context triple: [Dillon, hasColleague, Alan "Dutch" Schaefer]
  • A. Alan "Dutch" Schaefer chosen
    Alan "Dutch" Schaefer is the battle-hardened special forces major portrayed by Arnold Schwarzenegger who leads the elite commando team in the 1987 sci-fi action film "Predator."
  • B. Tom Schaul
    Tom Schaul is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Dueling DQN architecture.
  • C. Dick Schoof
    Dick Schoof is a Dutch civil servant and politician who has served as Prime Minister of the Netherlands.
  • D. George Schaefer
    George Schaefer was an American film executive and producer best known for his leadership at RKO Radio Pictures during the early 1940s, where he supported innovative projects such as Orson Welles’s work.
  • E. Michael Schaefer
    Michael Schaefer is a film and television producer known for his executive production work on projects such as the series "Swarm."
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ef65ac8190aedf9ade3a68e24e completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b066348190aedfe186fc4724f9 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:22 p.m.