Triple

T6351084
Position Surface form Disambiguated ID Type / Status
Subject Charles Bukowski E142870 entity
Predicate notableWork P4 FINISHED
Object Women
"Women" is a semi-autobiographical novel by Charles Bukowski that follows his hard-drinking alter ego Henry Chinaski through a series of raw, often chaotic relationships with various women.
 E586386 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: Women | Statement: [Charles Bukowski, notableWork, Women]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Women
Context triple: [Charles Bukowski, notableWork, Women]
  • A. Woman
    Woman is a documentary film by Yann Arthus-Bertrand that presents intimate interviews with women around the world, exploring their experiences, challenges, and perspectives.
  • B. Mrs
    Mrs is a common English honorific used as a title for married women.
  • C. Ladies
    The Ladies are the women's athletic teams representing Centenary College of Louisiana in intercollegiate sports.
  • D. Women’s Worlds
    Women’s Worlds is the premier annual international ice hockey tournament for national women’s teams organized by the International Ice Hockey Federation (IIHF).
  • E. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • 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: Women
Triple: [Charles Bukowski, notableWork, Women]
Generated description
"Women" is a semi-autobiographical novel by Charles Bukowski that follows his hard-drinking alter ego Henry Chinaski through a series of raw, often chaotic relationships with various women.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Women
Target entity description: "Women" is a semi-autobiographical novel by Charles Bukowski that follows his hard-drinking alter ego Henry Chinaski through a series of raw, often chaotic relationships with various women.
  • A. Woman
    Woman is a documentary film by Yann Arthus-Bertrand that presents intimate interviews with women around the world, exploring their experiences, challenges, and perspectives.
  • B. Mrs
    Mrs is a common English honorific used as a title for married women.
  • C. Ladies
    The Ladies are the women's athletic teams representing Centenary College of Louisiana in intercollegiate sports.
  • D. Women’s Worlds
    Women’s Worlds is the premier annual international ice hockey tournament for national women’s teams organized by the International Ice Hockey Federation (IIHF).
  • E. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067dc2790819084aaf7067dc25733 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604546ed08190bb1c89bc5461f5cd completed March 27, 2026, 4:15 a.m.
NEDg Description generation batch_69c6059ad89881909599c61f293791cc completed March 27, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69c6065044908190b2ba71490a3bae54 completed March 27, 2026, 4:23 a.m.
Created at: March 22, 2026, 4:31 p.m.