Triple

T2835243
Position Surface form Disambiguated ID Type / Status
Subject Picasso at the Lapin Agile E62332 entity
Predicate mainCharacter P1183 FINISHED
Object Sagot
Sagot is a character in Steve Martin’s play "Picasso at the Lapin Agile," typically portrayed as an art dealer and acquaintance of Pablo Picasso.
E302683 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: Sagot | Statement: [Picasso at the Lapin Agile, mainCharacter, Sagot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sagot
Context triple: [Picasso at the Lapin Agile, mainCharacter, Sagot]
  • A. Ans
    Ans is a municipality in the Walloon region of Belgium, located just northwest of the city of Liège and forming part of its suburban area.
  • B. The Answer
    The Answer is the famous nickname of NBA Hall of Famer Allen Iverson, celebrated for his electrifying scoring ability and cultural impact on basketball.
  • C. Pangutaran Sama
    Pangutaran Sama is an Austronesian language spoken by the Sama people of Pangutaran Island and nearby areas in the southern Philippines.
  • D. Ant
    Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
  • E. Bawitdaba
    "Bawitdaba" is a high-energy rap-rock song by Kid Rock that became one of his signature hits and helped propel him to mainstream fame in the late 1990s.
  • 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: Sagot
Triple: [Picasso at the Lapin Agile, mainCharacter, Sagot]
Generated description
Sagot is a character in Steve Martin’s play "Picasso at the Lapin Agile," typically portrayed as an art dealer and acquaintance of Pablo Picasso.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sagot
Target entity description: Sagot is a character in Steve Martin’s play "Picasso at the Lapin Agile," typically portrayed as an art dealer and acquaintance of Pablo Picasso.
  • A. Ans
    Ans is a municipality in the Walloon region of Belgium, located just northwest of the city of Liège and forming part of its suburban area.
  • B. The Answer
    The Answer is the famous nickname of NBA Hall of Famer Allen Iverson, celebrated for his electrifying scoring ability and cultural impact on basketball.
  • C. Pangutaran Sama
    Pangutaran Sama is an Austronesian language spoken by the Sama people of Pangutaran Island and nearby areas in the southern Philippines.
  • D. Ant
    Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
  • E. Bawitdaba
    "Bawitdaba" is a high-energy rap-rock song by Kid Rock that became one of his signature hits and helped propel him to mainstream fame in the late 1990s.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdeea881481908d759c72798a50fb completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8c45c548190ac67b94a845cc730 completed March 10, 2026, 9:47 a.m.
NEDg Description generation batch_69afe9a000c4819085be1794bff0d506 completed March 10, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69b0010b0ddc8190b4bfb18448f88077 completed March 10, 2026, 11:31 a.m.
Created at: March 6, 2026, 10:01 p.m.