Triple

T4806689
Position Surface form Disambiguated ID Type / Status
Subject John Updike E106964 entity
Predicate notableWork P4 FINISHED
Object Too Far to Go
Too Far to Go is a collection of interlinked short stories by John Updike that chronicles the marriage and eventual breakup of Richard and Joan Maple.
E472155 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: Too Far to Go | Statement: [John Updike, notableWork, Too Far to Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Too Far to Go
Context triple: [John Updike, notableWork, Too Far to Go]
  • A. So Far To Go
    "So Far To Go" is a soulful hip-hop track by Common, produced by J Dilla and also appearing on the album "Finding Forever."
  • B. Far from Over
    "Far from Over" is a 1983 rock song by Frank Stallone that gained popularity as part of the soundtrack for the film "Staying Alive."
  • C. Farther Away
    Farther Away is a 2012 collection of essays by Jonathan Franzen that blends literary criticism, personal reflection, and environmental concerns.
  • D. So Far Away
    "So Far Away" is a reflective soft rock ballad by Carole King, best known from her landmark 1971 album "Tapestry."
  • E. Never Go Back
    Never Go Back is a thriller novel by Lee Child featuring ex-military drifter Jack Reacher as he returns to his old army unit and uncovers a dangerous conspiracy.
  • 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: Too Far to Go
Triple: [John Updike, notableWork, Too Far to Go]
Generated description
Too Far to Go is a collection of interlinked short stories by John Updike that chronicles the marriage and eventual breakup of Richard and Joan Maple.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Too Far to Go
Target entity description: Too Far to Go is a collection of interlinked short stories by John Updike that chronicles the marriage and eventual breakup of Richard and Joan Maple.
  • A. So Far To Go
    "So Far To Go" is a soulful hip-hop track by Common, produced by J Dilla and also appearing on the album "Finding Forever."
  • B. Far from Over
    "Far from Over" is a 1983 rock song by Frank Stallone that gained popularity as part of the soundtrack for the film "Staying Alive."
  • C. Farther Away
    Farther Away is a 2012 collection of essays by Jonathan Franzen that blends literary criticism, personal reflection, and environmental concerns.
  • D. So Far Away
    "So Far Away" is a reflective soft rock ballad by Carole King, best known from her landmark 1971 album "Tapestry."
  • E. Never Go Back
    Never Go Back is a thriller novel by Lee Child featuring ex-military drifter Jack Reacher as he returns to his old army unit and uncovers a dangerous conspiracy.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c69099c8190956b6df42bb922c8 completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4da2a1808190bd8d0c073e4bad07 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4e61a9a8819096e3c4ba7612de85 completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4f0d51ac819097636aaf2429f317 completed March 21, 2026, 7:55 a.m.
Created at: March 20, 2026, 1:23 p.m.