Triple

T8106458
Position Surface form Disambiguated ID Type / Status
Subject Pica de Bourlemont E189238 entity
Predicate givenName P17 FINISHED
Object Pica
Pica is a feminine given name of French origin, notably borne by the medieval noblewoman Pica de Bourlemont.
 E712529 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: Pica | Statement: [Pica de Bourlemont, givenName, Pica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pica
Context triple: [Pica de Bourlemont, givenName, Pica]
  • A. Trenchmouth
    Trenchmouth was an American post-hardcore and noise rock band from Chicago active in the late 1980s and 1990s, known for its experimental sound and politically charged lyrics.
  • B. Tartar
    Tartar is a town in western Azerbaijan that serves as the administrative and economic hub of the surrounding Tartar District.
  • C. Analipsi
    Analipsi is a small coastal village on the Greek island of Astypalaia, known for its tranquil beaches and traditional island character.
  • D. Trioditis
    Trioditis is an epithet of the Greek goddess Hecate that emphasizes her association with crossroads and liminal spaces.
  • E. Λωτοφάγοι
    Λωτοφάγοι are the mythical "Lotus-Eaters" of Greek legend, a people who consume a magical lotus that causes them to forget their homes and lose all desire to return.
  • 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: Pica
Triple: [Pica de Bourlemont, givenName, Pica]
Generated description
Pica is a feminine given name of French origin, notably borne by the medieval noblewoman Pica de Bourlemont.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pica
Target entity description: Pica is a feminine given name of French origin, notably borne by the medieval noblewoman Pica de Bourlemont.
  • A. Trenchmouth
    Trenchmouth was an American post-hardcore and noise rock band from Chicago active in the late 1980s and 1990s, known for its experimental sound and politically charged lyrics.
  • B. Tartar
    Tartar is a town in western Azerbaijan that serves as the administrative and economic hub of the surrounding Tartar District.
  • C. Analipsi
    Analipsi is a small coastal village on the Greek island of Astypalaia, known for its tranquil beaches and traditional island character.
  • D. Trioditis
    Trioditis is an epithet of the Greek goddess Hecate that emphasizes her association with crossroads and liminal spaces.
  • E. Λωτοφάγοι
    Λωτοφάγοι are the mythical "Lotus-Eaters" of Greek legend, a people who consume a magical lotus that causes them to forget their homes and lose all desire to return.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42f735c8819090d0d822644c0a51 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc941075588190a9b12e2f873ba2a5 completed April 1, 2026, 3:42 a.m.
NEDg Description generation batch_69cc969e0ecc8190973658542d1406bc completed April 1, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69cc9771b6e48190bd5f45c3f8853890 completed April 1, 2026, 3:56 a.m.
Created at: March 30, 2026, 5:31 p.m.