Triple

T12168667
Position Surface form Disambiguated ID Type / Status
Subject Erzulie Freda E289897 entity
Predicate contrastedWith P278 FINISHED
Object Erzulie Dantor
Erzulie Dantor is a fierce, protective Haitian Vodou lwa often associated with motherhood, vengeance, and the struggles of the marginalized.
E970230 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: Erzulie Dantor | Statement: [Erzulie Freda, contrastedWith, Erzulie Dantor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erzulie Dantor
Context triple: [Erzulie Freda, contrastedWith, Erzulie Dantor]
  • A. Erzulie Freda
    Erzulie Freda is a prominent Haitian Vodou spirit associated with love, beauty, luxury, and feminine sensuality.
  • B. Moolaadé
    Moolaadé is a 2004 Senegalese drama film by Ousmane Sembène that powerfully critiques female genital mutilation through the story of a village woman who offers protection to young girls seeking refuge.
  • C. Mouloudia
    Mouloudia is the popular nickname of MC Alger, one of Algeria’s most historic and successful football clubs.
  • D. Kelaat M'Gouna
    Kelaat M'Gouna is a Moroccan town famed for its rose cultivation and annual Rose Festival, attracting visitors to the Drâa-Tafilalet region.
  • E. Beni Khiar
    Beni Khiar is a coastal town in northeastern Tunisia known for its beaches, agriculture, and role as a local commercial center.
  • 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: Erzulie Dantor
Triple: [Erzulie Freda, contrastedWith, Erzulie Dantor]
Generated description
Erzulie Dantor is a fierce, protective Haitian Vodou lwa often associated with motherhood, vengeance, and the struggles of the marginalized.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Erzulie Dantor
Target entity description: Erzulie Dantor is a fierce, protective Haitian Vodou lwa often associated with motherhood, vengeance, and the struggles of the marginalized.
  • A. Erzulie Freda
    Erzulie Freda is a prominent Haitian Vodou spirit associated with love, beauty, luxury, and feminine sensuality.
  • B. Moolaadé
    Moolaadé is a 2004 Senegalese drama film by Ousmane Sembène that powerfully critiques female genital mutilation through the story of a village woman who offers protection to young girls seeking refuge.
  • C. Mouloudia
    Mouloudia is the popular nickname of MC Alger, one of Algeria’s most historic and successful football clubs.
  • D. Kelaat M'Gouna
    Kelaat M'Gouna is a Moroccan town famed for its rose cultivation and annual Rose Festival, attracting visitors to the Drâa-Tafilalet region.
  • E. Beni Khiar
    Beni Khiar is a coastal town in northeastern Tunisia known for its beaches, agriculture, and role as a local commercial center.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d85c088190a74fb7590877659b completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a85e42481908c5517a24f7688e0 completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdb39f48190ad6bc51db6c34163 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4889d48190b2dfda8a0978cc72 completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:50 p.m.