Triple

T936929
Position Surface form Disambiguated ID Type / Status
Subject Jack London E20216 entity
Predicate familyName P18 FINISHED
Object Chaney
Chaney is the birth surname of American author Jack London, known for classic adventure novels like "The Call of the Wild" and "White Fang."
 E110553 NE FINISHED

How this triple was built (4 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: Chaney | Statement: [Jack London, familyName, Chaney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chaney
Context triple: [Jack London, familyName, Chaney]
  • A. Tom Canty
    Tom Canty is the impoverished London boy who swaps identities with Prince Edward in Mark Twain’s novel "The Prince and the Pauper," highlighting themes of class and social injustice.
  • B. Chapman
    Chapman is a surname most famously associated with Graham Chapman, a British comedian, writer, and member of the Monty Python comedy group.
  • C. Nance
    Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • D. Neely
    Neely is the surname of Cam Neely, a former professional ice hockey player and current executive best known for his career with the Boston Bruins.
  • E. Dayman
    Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Chaney
Triple: [Jack London, familyName, Chaney]
Generated description
Chaney is the birth surname of American author Jack London, known for classic adventure novels like "The Call of the Wild" and "White Fang."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chaney
Target entity description: Chaney is the birth surname of American author Jack London, known for classic adventure novels like "The Call of the Wild" and "White Fang."
  • A. Tom Canty
    Tom Canty is the impoverished London boy who swaps identities with Prince Edward in Mark Twain’s novel "The Prince and the Pauper," highlighting themes of class and social injustice.
  • B. Chapman
    Chapman is a surname most famously associated with Graham Chapman, a British comedian, writer, and member of the Monty Python comedy group.
  • C. Nance
    Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • D. Neely
    Neely is the surname of Cam Neely, a former professional ice hockey player and current executive best known for his career with the Boston Bruins.
  • E. Dayman
    Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
  • F. None of above. chosen

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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3668a3c8190b0152166efa93ee1 completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826dec198819084889ea69d53cd6c completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a834995a988190854fc3b8633f3bca completed March 4, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69a834f3a9288190a8cd28165379cec6 completed March 4, 2026, 1:34 p.m.
Created at: March 1, 2026, 7:40 p.m.