Triple

T7763282
Position Surface form Disambiguated ID Type / Status
Subject Prix Bordin E176077 entity
Predicate namedAfter P63 FINISHED
Object Bordin
Bordin is the namesake of the French academic distinction known as the Prix Bordin, awarded by the Institut de France for outstanding scholarly work.
 E687652 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: Bordin | Statement: [Prix Bordin, namedAfter, Bordin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bordin
Context triple: [Prix Bordin, namedAfter, Bordin]
  • A. Bordeira
    Bordeira is a civil parish in the municipality of Aljezur in Portugal’s Algarve region, known for its rugged Atlantic coastline and scenic beaches.
  • B. Lagrenée
    Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
  • C. Haubourdin
    Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
  • D. Vallet
    Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
  • E. Libatique
    Libatique is the surname of Matthew Libatique, an acclaimed American cinematographer known for his work on films such as "Black Swan" and "Requiem for a Dream."
  • 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: Bordin
Triple: [Prix Bordin, namedAfter, Bordin]
Generated description
Bordin is the namesake of the French academic distinction known as the Prix Bordin, awarded by the Institut de France for outstanding scholarly work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bordin
Target entity description: Bordin is the namesake of the French academic distinction known as the Prix Bordin, awarded by the Institut de France for outstanding scholarly work.
  • A. Bordeira
    Bordeira is a civil parish in the municipality of Aljezur in Portugal’s Algarve region, known for its rugged Atlantic coastline and scenic beaches.
  • B. Lagrenée
    Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
  • C. Haubourdin
    Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
  • D. Vallet
    Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
  • E. Libatique
    Libatique is the surname of Matthew Libatique, an acclaimed American cinematographer known for his work on films such as "Black Swan" and "Requiem for a Dream."
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c704061d1881909b5b42bb93d2b8a7 completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7da8b848190b378f694118dfa19 completed March 29, 2026, 6:34 a.m.
NEDg Description generation batch_69c8c8d7a51481908fd537dbb57a6116 completed March 29, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69c8c98179908190a68b7f029fff8e3c completed March 29, 2026, 6:41 a.m.
Created at: March 27, 2026, 4:09 p.m.