Triple

T14181516
Position Surface form Disambiguated ID Type / Status
Subject Winesburg, Ohio E351462 entity
Predicate hasPart P35 FINISHED
Object Queer
"Queer" is a short story by Sherwood Anderson that appears as one of the interconnected tales in his 1919 collection *Winesburg, Ohio*.
E1083714 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: [Winesburg, Ohio, hasPart, Queer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queer
Context triple: [Winesburg, Ohio, hasPart, Queer]
  • A. Queer
    Queer is a semi-autobiographical novel by William S. Burroughs that explores themes of homosexuality, addiction, and alienation in postwar Mexico City.
  • B. Gay
    Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
  • C. queer theory
    Queer theory is a critical intellectual movement that challenges normative ideas about gender, sexuality, and identity, drawing on poststructuralist and feminist thought to analyze how power shapes social and cultural norms.
  • D. GAY
    GAY is the IATA airport code for Gaya Airport, serving the city of Gaya in the Indian state of Bihar.
  • E. GLQ
    GLQ is the three-letter National Rail station code for Glasgow Queen Street, a major railway terminus in Glasgow, Scotland.
  • 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: [Winesburg, Ohio, hasPart, Queer]
Generated description
"Queer" is a short story by Sherwood Anderson that appears as one of the interconnected tales in his 1919 collection *Winesburg, Ohio*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Queer
Target entity description: "Queer" is a short story by Sherwood Anderson that appears as one of the interconnected tales in his 1919 collection *Winesburg, Ohio*.
  • A. Queer
    Queer is a semi-autobiographical novel by William S. Burroughs that explores themes of homosexuality, addiction, and alienation in postwar Mexico City.
  • B. Gay
    Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
  • C. queer theory
    Queer theory is a critical intellectual movement that challenges normative ideas about gender, sexuality, and identity, drawing on poststructuralist and feminist thought to analyze how power shapes social and cultural norms.
  • D. GAY
    GAY is the IATA airport code for Gaya Airport, serving the city of Gaya in the Indian state of Bihar.
  • E. GLQ
    GLQ is the three-letter National Rail station code for Glasgow Queen Street, a major railway terminus in Glasgow, Scotland.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61ca3ad88190944850c97760dcbf completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf8114774819094670dd800a40796 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd04c17ee881908c84a2d0dbdc491e completed May 7, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69fd065c9ecc81908ea544f42136e32c completed May 7, 2026, 9:38 p.m.
Created at: April 10, 2026, 1:02 a.m.