Triple

T19988197
Position Surface form Disambiguated ID Type / Status
Subject Ken Baumann E493989 entity
Predicate wrote P2831 FINISHED
Object Say, Cut, Map
"Say, Cut, Map" is a novel by American writer Ken Baumann, known for its experimental, fragmented narrative and exploration of memory, identity, and trauma.
E1405853 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: Say, Cut, Map | Statement: [Ken Baumann, wrote, Say, Cut, Map]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Say, Cut, Map
Context triple: [Ken Baumann, wrote, Say, Cut, Map]
  • A. Speaking in Strings
    Speaking in Strings is a documentary film that explores the life, artistry, and emotional intensity of virtuoso violinist Nadia Salerno-Sonnenberg.
  • B. What You See Is What You Mean
    What You See Is What You Mean is a document-editing philosophy that emphasizes semantic structure and content meaning over visual appearance, contrasting with traditional WYSIWYG approaches.
  • C. String Interlude
    String Interlude is a short musical transition piece featured on the album "Love the Future" by Chester French.
  • D. CUT
    CUT is a public university in Limassol, Cyprus, known for its focus on applied research and technology-oriented academic programs.
  • E. CUT
    CUT is the commonly used acronym for the Central University of Technology, a higher education institution in South Africa.
  • 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: Say, Cut, Map
Triple: [Ken Baumann, wrote, Say, Cut, Map]
Generated description
"Say, Cut, Map" is a novel by American writer Ken Baumann, known for its experimental, fragmented narrative and exploration of memory, identity, and trauma.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Say, Cut, Map
Target entity description: "Say, Cut, Map" is a novel by American writer Ken Baumann, known for its experimental, fragmented narrative and exploration of memory, identity, and trauma.
  • A. Speaking in Strings
    Speaking in Strings is a documentary film that explores the life, artistry, and emotional intensity of virtuoso violinist Nadia Salerno-Sonnenberg.
  • B. What You See Is What You Mean
    What You See Is What You Mean is a document-editing philosophy that emphasizes semantic structure and content meaning over visual appearance, contrasting with traditional WYSIWYG approaches.
  • C. String Interlude
    String Interlude is a short musical transition piece featured on the album "Love the Future" by Chester French.
  • D. CUT
    CUT is a public university in Limassol, Cyprus, known for its focus on applied research and technology-oriented academic programs.
  • E. CUT
    CUT is the IATA airport code for Cutral Có Airport, which serves the city of Cutral Có in Neuquén Province, Argentina.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fddfee081909aa8cd6e279b2a7a completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0804ffe4a88190a45e704f791f49f2 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a08061f6aa08190a7c8b4fc55ea1400 completed May 16, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_6a080706231c819081499808132fad82 completed May 16, 2026, 5:56 a.m.
Created at: April 11, 2026, 3:30 p.m.