Triple

T17731536
Position Surface form Disambiguated ID Type / Status
Subject Canadair CP-107 Argus E442596 entity
Predicate natoReportingName P6062 FINISHED
Object Argus 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: Argus | Statement: [Canadair CP-107 Argus, natoReportingName, Argus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argus
Context triple: [Canadair CP-107 Argus, natoReportingName, Argus]
  • A. Argus
    Argus is an early distributed programming language known for pioneering concepts in fault-tolerant, distributed systems and influencing modern object-oriented and concurrent programming.
  • B. Argus chosen
    Argus is a many-eyed giant from Greek mythology best known for his role as a vigilant guardian.
  • C. Aidoneus
    Aidoneus is an alternate name and epithet for Hades, the Greek god who rules the underworld and the dead.
  • D. Antyllus
    Antyllus (Marcus Antonius Antyllus) was the eldest son of the Roman triumvir Mark Antony, known for being executed by Octavian after Antony’s defeat and the fall of Cleopatra VII.
  • E. Phineus
    Phineus is a figure in Greek mythology known primarily as a blind seer and king tormented by the Harpies until aided by the Argonauts.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e69f288190900027641952f198 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.