Triple

T2894259
Position Surface form Disambiguated ID Type / Status
Subject William S. Burroughs E63899 entity
Predicate notableWork P4 FINISHED
Object Queer
Queer is a semi-autobiographical novel by William S. Burroughs that explores themes of homosexuality, addiction, and alienation in postwar Mexico City.
 E308204 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: Queer | Statement: [William S. Burroughs, notableWork, Queer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Queer
Context triple: [William S. Burroughs, notableWork, Queer]
  • A. Gay
    Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
  • B. GLQ
    GLQ is the three-letter National Rail station code for Glasgow Queen Street, a major railway terminus in Glasgow, Scotland.
  • C. GNQ
    GNQ is the three-letter ISO 3166-1 alpha-3 country code assigned to Equatorial Guinea.
  • D. LGB
    LGB is the IATA airport code for Long Beach Airport, a public airport serving the Long Beach and greater Los Angeles area in California.
  • E. Queer Little People
    "Queer Little People" is a lesser-known collection of children’s stories by Harriet Beecher Stowe that uses imaginative tales to convey moral and religious lessons.
  • 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: Queer
Triple: [William S. Burroughs, notableWork, Queer]
Generated description
Queer is a semi-autobiographical novel by William S. Burroughs that explores themes of homosexuality, addiction, and alienation in postwar Mexico City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Queer
Target entity description: Queer is a semi-autobiographical novel by William S. Burroughs that explores themes of homosexuality, addiction, and alienation in postwar Mexico City.
  • A. Gay
    Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
  • B. GLQ
    GLQ is the three-letter National Rail station code for Glasgow Queen Street, a major railway terminus in Glasgow, Scotland.
  • C. GNQ
    GNQ is the three-letter ISO 3166-1 alpha-3 country code assigned to Equatorial Guinea.
  • D. LGB
    LGB is the IATA airport code for Long Beach Airport, a public airport serving the Long Beach and greater Los Angeles area in California.
  • E. Queer Little People
    "Queer Little People" is a lesser-known collection of children’s stories by Harriet Beecher Stowe that uses imaginative tales to convey moral and religious lessons.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe063de6c8190bce9ddefd1dd62e1 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b031814764819096a1664b468ec817 completed March 10, 2026, 2:58 p.m.
NEDg Description generation batch_69b03206ad288190aaa97a9379f3438c completed March 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69b0398b955c81909c6155706f4b90e9 completed March 10, 2026, 3:32 p.m.
Created at: March 6, 2026, 10:07 p.m.