Triple

T28976021
Position Surface form Disambiguated ID Type / Status
Subject The Rawhide Kid E734411 entity
Predicate alsoKnownAs P39 FINISHED
Object The Fastest Gun in the West
The Fastest Gun in the West is a nickname for Marvel Comics' Western hero the Rawhide Kid, famed for his unmatched speed and skill with a revolver.
E1841560 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: The Fastest Gun in the West | Statement: [The Rawhide Kid, alsoKnownAs, The Fastest Gun in the West]
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: The Fastest Gun in the West
Triple: [The Rawhide Kid, alsoKnownAs, The Fastest Gun in the West]
Generated description
The Fastest Gun in the West is a nickname for Marvel Comics' Western hero the Rawhide Kid, famed for his unmatched speed and skill with a revolver.

Provenance (5 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_69f05b0d1e7c819092baab93d3fe277e completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65ee10fa4819092019f83769abbd6 completed May 2, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec6057a48190b0f7217a22cafee0 completed June 7, 2026, 3:58 a.m.
NEDg Description generation batch_6a24f04a62088190a7c7981e2baab162 completed June 7, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_6a24f4b1f6bc8190b2edb78cc273e419 completed June 7, 2026, 4:33 a.m.
Created at: April 28, 2026, 9:08 a.m.