Triple

T10245602
Position Surface form Disambiguated ID Type / Status
Subject Jay Roach E240203 entity
Predicate directed P7373 FINISHED
Object The Campaign E356153 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: The Campaign | Statement: [Jay Roach, directed, The Campaign]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Campaign
Context triple: [Jay Roach, directed, The Campaign]
  • A. The Campaign chosen
    The Campaign is a 2012 political comedy film that satirizes American election culture, co-starring Jason Sudeikis alongside Will Ferrell and Zach Galifianakis.
  • B. The Campaign
    The Campaign is a 1704 poem by Joseph Addison celebrating the Duke of Marlborough’s victory at the Battle of Blenheim and helping establish Addison’s literary reputation.
  • C. The In Campaign
    The In Campaign was the official cross-party group that campaigned for the United Kingdom to remain in the European Union during the 2016 EU membership referendum.
  • D. A Civil Campaign
    A Civil Campaign is a science fiction novel in Lois McMaster Bujold’s Vorkosigan Saga that blends political intrigue with romantic comedy centered on Miles Vorkosigan.
  • E. A Call to Arms
    "A Call to Arms" is a seminal 1923 short story collection by Lu Xun that powerfully critiques Chinese society and helped shape modern Chinese literature.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22be0208190b671a4e3f81d11b8 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7a597188190880200d13784f18f completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:26 a.m.