Triple

T13520212
Position Surface form Disambiguated ID Type / Status
Subject Kyle Labine E322873 entity
Predicate familyName P18 FINISHED
Object Labine
Labine is a Canadian surname most notably associated with a family of actors, including Kyle Labine and his brothers.
 E1056410 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: Labine | Statement: [Kyle Labine, familyName, Labine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Labine
Context triple: [Kyle Labine, familyName, Labine]
  • A. Targnon
    Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
  • B. Rothière
    Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • C. Saussignac
    Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
  • D. Calvé
    Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
  • E. Lezoux
    Lezoux is a commune in central France’s Puy-de-Dôme department, known historically for its significant Roman pottery production.
  • 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: Labine
Triple: [Kyle Labine, familyName, Labine]
Generated description
Labine is a Canadian surname most notably associated with a family of actors, including Kyle Labine and his brothers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Labine
Target entity description: Labine is a Canadian surname most notably associated with a family of actors, including Kyle Labine and his brothers.
  • A. Targnon
    Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
  • B. Rothière
    Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • C. Saussignac
    Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
  • D. Calvé
    Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
  • E. Lezoux
    Lezoux is a commune in central France’s Puy-de-Dôme department, known historically for its significant Roman pottery production.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3afa0c81908733f3fd193d4e0f completed May 3, 2026, 7:08 p.m.
NEDg Description generation batch_69f79e0518188190891bf4336630d0a5 completed May 3, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69f79e7d50a88190b2a90094dd6d48ad completed May 3, 2026, 7:14 p.m.
Created at: April 9, 2026, 9:44 p.m.