Triple

T15893445
Position Surface form Disambiguated ID Type / Status
Subject William Gaddis E385387 entity
Predicate notableWork P4 FINISHED
Object JR
JR is a complex, satirical novel by William Gaddis that critiques American capitalism and corporate culture through fragmented dialogue and dark humor.
 E1182761 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: JR | Statement: [William Gaddis, notableWork, JR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JR
Context triple: [William Gaddis, notableWork, JR]
  • A. JR
    JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
  • B. JR
    JR is a character from Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," which chronicles the lives and relationships of a diverse group of lesbian friends.
  • C. JR
    JR is the station code assigned to J. Ruiz station in the Manila Metro Rail Transit system.
  • D. JR
    JR is the common brand name and logo used by the Japan Railways Group, a network of major passenger and freight railway companies in Japan.
  • E. RJ
    RJ is the crafty, fast-talking raccoon who leads the animal ensemble in the animated film "Over the Hedge."
  • 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: JR
Triple: [William Gaddis, notableWork, JR]
Generated description
JR is a complex, satirical novel by William Gaddis that critiques American capitalism and corporate culture through fragmented dialogue and dark humor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JR
Target entity description: JR is a complex, satirical novel by William Gaddis that critiques American capitalism and corporate culture through fragmented dialogue and dark humor.
  • A. JR
    JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
  • B. JR
    JR is a character from Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," which chronicles the lives and relationships of a diverse group of lesbian friends.
  • C. JR
    JR is the station code assigned to J. Ruiz station in the Manila Metro Rail Transit system.
  • D. JR
    JR is the common brand name and logo used by the Japan Railways Group, a network of major passenger and freight railway companies in Japan.
  • E. RJ
    RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563727cc819086b5c18b655dd7f6 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0497cb481908e8ea4ebb9c4039d completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb1b0ac6481908d2e6106c0984d21 completed May 9, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69ffb2461ea48190ba05f7da71b0f80f completed May 9, 2026, 10:16 p.m.
Created at: April 10, 2026, 4:51 a.m.