Triple

T15489458
Position Surface form Disambiguated ID Type / Status
Subject Diodorus Cronus E377140 entity
Predicate argument P2397 FINISHED
Object Master Argument E1160232 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: Master Argument | Statement: [Diodorus Cronus, argument, Master Argument]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Master Argument
Context triple: [Diodorus Cronus, argument, Master Argument]
  • A. Master Argument chosen
    The Master Argument is a famous logical paradox from ancient Greek philosophy that challenges the compatibility of possibility, necessity, and future contingents.
  • B. The Argument
    The Argument is a comedy film known for its farcical premise in which a couple restages a contentious evening to prove who was right, escalating into increasingly absurd reenactments.
  • C. The Argument Clinic
    The Argument Clinic is a famous Monty Python sketch featuring a man who pays to engage in a hilariously absurd and increasingly frustrating formal argument.
  • D. Arguvan
    Arguvan is a rural district and town in eastern Turkey known for its folk music tradition and location within Malatya Province.
  • E. ARG
    ARG is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Argentina in international standards and data systems.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faaca588190b0397bc2e27a522a completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4661088190bb53161247effcc4 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:48 a.m.