Triple

T8721799
Position Surface form Disambiguated ID Type / Status
Subject FAMAS F1 E207028 entity
Predicate designer P184 FINISHED
Object Paul Tellie E207025 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: Paul Tellie | Statement: [FAMAS F1, designer, Paul Tellie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Tellie
Context triple: [FAMAS F1, designer, Paul Tellie]
  • A. Paul Tellie chosen
    Paul Tellie is a French firearms engineer best known for creating the FAMAS bullpup assault rifle used by the French military.
  • B. Peter Djigirr
    Peter Djigirr is an Indigenous Australian filmmaker best known for co-directing the acclaimed film "Ten Canoes," one of the first feature films entirely in an Australian Aboriginal language.
  • C. Sean Choolburra
    Sean Choolburra is an Australian Aboriginal comedian and performer known for blending stand-up comedy with traditional dance, language, and cultural storytelling.
  • D. Richard Birrinbirrin
    Richard Birrinbirrin is an Indigenous Australian actor best known for his role in the acclaimed film "Ten Canoes," which portrays traditional Yolngu life and storytelling.
  • E. Kasey the Kangaroo
    Kasey the Kangaroo is the energetic kangaroo mascot representing the University of Missouri–Kansas City at athletic events and campus activities.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d03f0848190a50c77e5cd028ee7 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28f599a481908e93bc5b5c41296e completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:36 p.m.