Triple

T12426322
Position Surface form Disambiguated ID Type / Status
Subject Lieutenant Marion "Cobra" Cobretti E296906 entity
Predicate appearsIn P795 FINISHED
Object Cobra E61456 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: Cobra | Statement: [Lieutenant Marion "Cobra" Cobretti, appearsIn, Cobra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cobra
Context triple: [Lieutenant Marion "Cobra" Cobretti, appearsIn, Cobra]
  • A. Cobra chosen
    Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
  • B. Cobra
    Cobra is a fictional terrorist organization and the primary antagonist faction in the G.I. Joe franchise.
  • C. Cobra
    Cobra is the internal codename for IBM and Motorola's first-generation PowerPC 601 microprocessor, used in early PowerPC-based systems in the mid-1990s.
  • D. Cobra
    The "Cobra" is the Northrop YF-17, a lightweight American prototype fighter aircraft that served as the design basis for the F/A-18 Hornet.
  • E. Kobra
    Kobra is a spinning disk roller coaster attraction at Chessington World of Adventures in the UK.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ccda08190be2ff1739c1c6855 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66857f5c88190b72debe80fb87727 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:55 p.m.