Triple

T1748960
Position Surface form Disambiguated ID Type / Status
Subject The Mountain Between Us E38395 entity
Predicate castMember P1668 FINISHED
Object Dermot Mulroney E46740 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: Dermot Mulroney | Statement: [The Mountain Between Us, castMember, Dermot Mulroney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dermot Mulroney
Context triple: [The Mountain Between Us, castMember, Dermot Mulroney]
  • A. Dermot Mulroney chosen
    Dermot Mulroney is an American actor known for his versatile film and television roles, including prominent performances in romantic comedies and dramas since the late 1980s.
  • B. Oliver Hudson
    Oliver Hudson is an American actor known for his roles in television series such as "Rules of Engagement," "Nashville," and "Scream Queens."
  • C. Peter Sarsgaard
    Peter Sarsgaard is an American actor known for his nuanced supporting and character roles in films such as "Shattered Glass," "An Education," and "Jarhead."
  • D. Brett Cullen
    Brett Cullen is an American actor known for his numerous film and television roles, including playing Thomas Wayne in the 2019 film "Joker."
  • E. Luke Goss
    Luke Goss is an English actor and former drummer best known for his roles in genre films such as "Blade II" and "Hellboy II: The Golden Army."
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ee4d2081909dfd6d3244228c56 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeacc64808190976d4a604d7762ea completed March 8, 2026, 9:31 p.m.
Created at: March 4, 2026, 7:31 p.m.