Triple

T6828205
Position Surface form Disambiguated ID Type / Status
Subject Paul Auster E157067 entity
Predicate notableWork P4 FINISHED
Object 4 3 2 1
4 3 2 1 is a novel by American author Paul Auster that explores themes of chance, identity, and storytelling through an experimental, metafictional narrative structure.
E622135 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: 4 3 2 1 | Statement: [Paul Auster, notableWork, 4 3 2 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 4 3 2 1
Context triple: [Paul Auster, notableWork, 4 3 2 1]
  • A. One, Two, Three
    One, Two, Three is a 1961 fast-paced Cold War comedy film set in West Berlin, known for its rapid-fire dialogue and satirical take on East–West tensions.
  • B. One by One
    One by One is a 2002 rock album by Foo Fighters known for its heavier sound and hit singles like "All My Life" and "Times Like These."
  • C. One by One
    "One by One" is a song recorded by the American R&B/rock and roll vocal group The Coasters.
  • D. 4 the Cause
    4 the Cause was a 1990s American R&B group best known internationally for their hit cover of Ben E. King’s “Stand by Me.”
  • E. All 4
    All 4 was the former name of Channel 4’s on-demand streaming service in the United Kingdom, offering catch-up and box-set content across its TV brands.
  • 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: 4 3 2 1
Triple: [Paul Auster, notableWork, 4 3 2 1]
Generated description
4 3 2 1 is a novel by American author Paul Auster that explores themes of chance, identity, and storytelling through an experimental, metafictional narrative structure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 4 3 2 1
Target entity description: 4 3 2 1 is a novel by American author Paul Auster that explores themes of chance, identity, and storytelling through an experimental, metafictional narrative structure.
  • A. One, Two, Three
    One, Two, Three is a 1961 fast-paced Cold War comedy film set in West Berlin, known for its rapid-fire dialogue and satirical take on East–West tensions.
  • B. One by One
    One by One is a 2002 rock album by Foo Fighters known for its heavier sound and hit singles like "All My Life" and "Times Like These."
  • C. One by One
    "One by One" is a song recorded by the American R&B/rock and roll vocal group The Coasters.
  • D. 4 the Cause
    4 the Cause was a 1990s American R&B group best known internationally for their hit cover of Ben E. King’s “Stand by Me.”
  • E. All 4
    All 4 was the former name of Channel 4’s on-demand streaming service in the United Kingdom, offering catch-up and box-set content across its TV brands.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6254bd88190a2a424537c2c12e2 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723f49bdc8190af39b34dbaf3f0c9 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724d7f0308190abb494ea663ceeb9 completed March 28, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c72568866c8190bf88a02e566d5c3a completed March 28, 2026, 12:48 a.m.
Created at: March 27, 2026, 2:18 p.m.