Triple

T12161155
Position Surface form Disambiguated ID Type / Status
Subject Tom LaGarde E289708 entity
Predicate familyName P18 FINISHED
Object LaGarde
LaGarde is a surname most notably associated with former American professional basketball player Tom LaGarde.
 E965516 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: LaGarde | Statement: [Tom LaGarde, familyName, LaGarde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LaGarde
Context triple: [Tom LaGarde, familyName, LaGarde]
  • A. Lardé
    Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
  • B. Lajoux
    Lajoux is a small municipality in the Jura region of northwestern Switzerland, known for its rural setting and location on the Franches-Montagnes plateau.
  • C. Demarete
    Demarete was a 5th-century BCE Greek queen of Syracuse, known as the wife of the tyrant Gelon and remembered for her political influence and legendary generosity after the Battle of Himera.
  • D. Balard
    Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
  • E. Gaudron
    Gaudron is Mary Gaudron, a former Justice of the High Court of Australia known for her influential judgments on constitutional and human rights issues.
  • 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: LaGarde
Triple: [Tom LaGarde, familyName, LaGarde]
Generated description
LaGarde is a surname most notably associated with former American professional basketball player Tom LaGarde.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LaGarde
Target entity description: LaGarde is a surname most notably associated with former American professional basketball player Tom LaGarde.
  • A. Lardé
    Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
  • B. Lajoux
    Lajoux is a small municipality in the Jura region of northwestern Switzerland, known for its rural setting and location on the Franches-Montagnes plateau.
  • C. Demarete
    Demarete was a 5th-century BCE Greek queen of Syracuse, known as the wife of the tyrant Gelon and remembered for her political influence and legendary generosity after the Battle of Himera.
  • D. Balard
    Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
  • E. Gaudron
    Gaudron is Mary Gaudron, a former Justice of the High Court of Australia known for her influential judgments on constitutional and human rights issues.
  • 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_69d915c395e48190a16e97fd29787a51 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a0baf0819094e90b7e92b979d4 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b7385881909ddb86a1d39ff5d4 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601ebaa448190ba59485d9d7d68d1 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:50 p.m.