Triple

T2087060
Position Surface form Disambiguated ID Type / Status
Subject Willem de Kooning E45375 entity
Predicate notableWork P4 FINISHED
Object Woman I
Woman I is a landmark abstract expressionist painting by Willem de Kooning, renowned for its aggressive brushwork and provocative depiction of the female figure.
 E232415 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: Woman I | Statement: [Willem de Kooning, notableWork, Woman I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Woman I
Context triple: [Willem de Kooning, notableWork, Woman I]
  • 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. A Woman Who
    A Woman Who is a creative work by American filmmaker and author Rebecca Miller, known for her introspective, character-driven storytelling.
  • C. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • D. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • E. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • 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: Woman I
Triple: [Willem de Kooning, notableWork, Woman I]
Generated description
Woman I is a landmark abstract expressionist painting by Willem de Kooning, renowned for its aggressive brushwork and provocative depiction of the female figure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Woman I
Target entity description: Woman I is a landmark abstract expressionist painting by Willem de Kooning, renowned for its aggressive brushwork and provocative depiction of the female figure.
  • 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. A Woman Who
    A Woman Who is a creative work by American filmmaker and author Rebecca Miller, known for her introspective, character-driven storytelling.
  • C. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • D. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • E. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba5641208190b925676b8d80f300 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2742834c8190ad9be71128959e0c completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae2bd9c41c819089f65019e2fb93ad completed March 9, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69ae2c61c3e08190a0ab44db0af9eb55 completed March 9, 2026, 2:11 a.m.
Created at: March 4, 2026, 7:41 p.m.