Triple

T33420325
Position Surface form Disambiguated ID Type / Status
Subject McQ E855828 entity
Predicate hasWeaponFocus P166460 FINISHED
Object MAC-10 submachine gun
The MAC-10 submachine gun is a compact, blowback-operated automatic firearm known for its high rate of fire and frequent appearance in action films and popular culture.
 E2055503 NE FINISHED

How this triple was built (3 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: MAC-10 submachine gun | Statement: [McQ, hasWeaponFocus, MAC-10 submachine gun]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MAC-10 submachine gun
Triple: [McQ, hasWeaponFocus, MAC-10 submachine gun]
Generated description
The MAC-10 submachine gun is a compact, blowback-operated automatic firearm known for its high rate of fire and frequent appearance in action films and popular culture.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasWeaponFocus
Context triple: [McQ, hasWeaponFocus, MAC-10 submachine gun]
  • A. hasPrimaryInstrumentFocus
    Indicates that an entity’s main emphasis or specialization is centered on a particular instrument.
  • B. hasWeaponOption chosen
    Indicates that an entity has a particular weapon available as a selectable or usable option.
  • C. hasWeaponType
    Indicates that an entity is associated with or equipped with a specific type or category of weapon.
  • D. haveFocusSystem
    Indicates that an entity is currently the primary target or active focus within a system or context.
  • E. hasActingFocus
    Indicates that an entity is the primary performer or focal agent carrying out an action in a given context.
  • F. None of above.

Provenance (6 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_69f3496fdf0081908c1aa30870ce518b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e47f37848190aadb137c81760f1f completed May 3, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35a65fb8f481908622a8ef78d0af49 completed June 19, 2026, 8:28 p.m.
NEDg Description generation batch_6a35a70f36888190b600a3b47adbc24f completed June 19, 2026, 8:31 p.m.
NED2 Entity disambiguation (via description) batch_6a35a7b4ea908190b56ce58460ee569b completed June 19, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69f6e3da41948190a4cfe866ce184f73 completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:36 a.m.