Triple

T18689539
Position Surface form Disambiguated ID Type / Status
Subject President Merkin Muffley E456954 entity
Predicate setting P1957 FINISHED
Object Pentagon War Room NE NERFINISHED

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: Pentagon War Room | Statement: [President Merkin Muffley, setting, Pentagon War Room]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pentagon War Room
Context triple: [President Merkin Muffley, setting, Pentagon War Room]
  • A. The Situation Room
    The Situation Room is a CNN news program that provides live coverage and analysis of major political events and breaking news, traditionally anchored by Wolf Blitzer.
  • B. Pentagon
    The Pentagon is the five-sided headquarters of the United States Department of Defense and a symbol of the U.S. military.
  • C. War Room
    "War Room" is a 2015 Christian drama film focused on the power of prayer in transforming personal relationships and spiritual lives.
  • D. War Room chosen
    War Room is the iconic underground command center in Stanley Kubrick’s film "Dr. Strangelove," where U.S. military and political leaders debate nuclear war.
  • E. Tour Pentagonale
    Tour Pentagonale is a historic five-sided defensive tower and notable architectural landmark located in the village of Castellane in southeastern France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2fc2cc8190a4726526a714a5eb completed April 19, 2026, 10:46 p.m.
Created at: April 10, 2026, 11:49 a.m.