Triple

T922483
Position Surface form Disambiguated ID Type / Status
Subject Tar Baby E19912 entity
Predicate hasCharacter P2308 FINISHED
Object Ondine
Ondine is a character from the "Tar Baby" narrative, often associated with themes of entrapment and trickery rooted in African American folklore.
 E108985 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: Ondine | Statement: [Tar Baby, hasCharacter, Ondine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ondine
Context triple: [Tar Baby, hasCharacter, Ondine]
  • A. Ondine
    Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
  • B. Lenore
    "Lenore" is a melancholic poem by Edgar Allan Poe that explores themes of death, mourning, and idealized love through the lament for a lost woman.
  • C. Annabella
    Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • D. Milbanke
    Milbanke is an English aristocratic family name historically associated with the wife of poet Lord Byron, Annabella Milbanke.
  • E. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • 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: Ondine
Triple: [Tar Baby, hasCharacter, Ondine]
Generated description
Ondine is a character from the "Tar Baby" narrative, often associated with themes of entrapment and trickery rooted in African American folklore.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ondine
Target entity description: Ondine is a character from the "Tar Baby" narrative, often associated with themes of entrapment and trickery rooted in African American folklore.
  • A. Ondine
    Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
  • B. Lenore
    "Lenore" is a melancholic poem by Edgar Allan Poe that explores themes of death, mourning, and idealized love through the lament for a lost woman.
  • C. Annabella
    Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • D. Milbanke
    Milbanke is an English aristocratic family name historically associated with the wife of poet Lord Byron, Annabella Milbanke.
  • E. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b314f6fc81908a3ccc2e741e3c2b completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf6652d0819084d6216646bd4fc5 completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7ebfdb6a08190bad4b12711719e80 completed March 4, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69a7ec6c239c8190a86ccf46232c74c4 completed March 4, 2026, 8:25 a.m.
Created at: March 1, 2026, 7:40 p.m.