Triple

T17189255
Position Surface form Disambiguated ID Type / Status
Subject Chris Traynor E417184 entity
Predicate memberOf P10 FINISHED
Object Orange 9mm E942911 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: Orange 9mm | Statement: [Chris Traynor, memberOf, Orange 9mm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange 9mm
Context triple: [Chris Traynor, memberOf, Orange 9mm]
  • A. Orange 9mm chosen
    Orange 9mm is an American hardcore punk band known for blending aggressive punk with elements of hip hop and alternative metal in the 1990s.
  • B. Browning Hi-Power pistol
    The Browning Hi-Power pistol is a widely used 9mm semi-automatic handgun designed by John Browning and known for its high-capacity magazine and extensive military and police service worldwide.
  • C. .38 Special
    .38 Special is a widely used revolver cartridge known for its manageable recoil and long-standing popularity in law enforcement and civilian self-defense.
  • D. K5 pistol
    The K5 pistol is a South Korean semi-automatic handgun widely used by the Republic of Korea Armed Forces as their primary service sidearm.
  • E. Ms .45
    Ms .45 is a 1981 cult exploitation thriller about a mute seamstress who becomes a vengeful vigilante after being assaulted, directed by Abel Ferrara.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d986b60819085c515101cfe65fe completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fd0e1448190a9c0eadc7a8a2f6a completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.