Triple

T23604139
Position Surface form Disambiguated ID Type / Status
Subject James "Sonny" Crockett E582843 entity
Predicate laterWeapon P151929 FINISHED
Object Smith & Wesson 645
The Smith & Wesson 645 is a full-size, stainless steel, semi-automatic pistol chambered in .45 ACP, produced in the 1980s as part of Smith & Wesson’s second-generation auto series.
 E1592373 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: Smith & Wesson 645 | Statement: [James "Sonny" Crockett, laterWeapon, Smith & Wesson 645]
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: Smith & Wesson 645
Triple: [James "Sonny" Crockett, laterWeapon, Smith & Wesson 645]
Generated description
The Smith & Wesson 645 is a full-size, stainless steel, semi-automatic pistol chambered in .45 ACP, produced in the 1980s as part of Smith & Wesson’s second-generation auto series.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: laterWeapon
Context triple: [James "Sonny" Crockett, laterWeapon, Smith & Wesson 645]
  • A. formerWeapon
    Indicates that an entity once functioned as a weapon but no longer serves in that role.
  • B. usedWeapon
    Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
  • C. weapon
    Indicates that one entity is used as a weapon by, or serves as the weapon of, another entity.
  • D. laterWielder
    Indicates that one entity becomes the wielder or user of an object or power after another entity who wielded it earlier.
  • E. featuredWeapon chosen
    Indicates that a particular weapon is highlighted or prominently showcased in relation to an entity, such as a character, event, or 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_69e248faa2788190abb1581742daa6aa completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b0ee6ce881909f556404cc235418 completed April 29, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f45893ccc8190a2eee6f322bad0e5 completed May 21, 2026, 5:48 p.m.
NEDg Description generation batch_6a0f461940e4819083efc41c455897e7 completed May 21, 2026, 5:51 p.m.
NED2 Entity disambiguation (via description) batch_6a0f469597788190afac9f7b9868ee97 completed May 21, 2026, 5:53 p.m.
PD Predicate disambiguation batch_69f118c96a0081908a8ac98ef7e7e60c completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:44 p.m.