Triple

T14668706
Position Surface form Disambiguated ID Type / Status
Subject Charles LeMaire E344448 entity
Predicate familyName P18 FINISHED
Object LeMaire
LeMaire is a surname most notably associated with Charles LeMaire, an American costume designer who won multiple Academy Awards for his work in Hollywood cinema.
 E1111699 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: LeMaire | Statement: [Charles LeMaire, familyName, LeMaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LeMaire
Context triple: [Charles LeMaire, familyName, LeMaire]
  • A. Lemery
    Lemery is a coastal municipality in the province of Batangas in the Philippines, known for its commercial activity and proximity to Taal Lake and Volcano.
  • B. Levesque
    Levesque is the surname of American singer and actress JoJo, whose full name is Joanna Noëlle Levesque.
  • C. La Berri
    La Berri is the commonly used nickname for La Berrichonne de Châteauroux, a French professional football club based in Châteauroux.
  • D. Desmarais
    Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
  • E. LaMarche
    LaMarche is the surname of Maurice LaMarche, a Canadian-American voice actor best known for his work on animated series such as "Pinky and the Brain" and "Futurama."
  • 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: LeMaire
Triple: [Charles LeMaire, familyName, LeMaire]
Generated description
LeMaire is a surname most notably associated with Charles LeMaire, an American costume designer who won multiple Academy Awards for his work in Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LeMaire
Target entity description: LeMaire is a surname most notably associated with Charles LeMaire, an American costume designer who won multiple Academy Awards for his work in Hollywood cinema.
  • A. Lemery
    Lemery is a coastal municipality in the province of Batangas in the Philippines, known for its commercial activity and proximity to Taal Lake and Volcano.
  • B. Levesque
    Levesque is the surname of American singer and actress JoJo, whose full name is Joanna Noëlle Levesque.
  • C. La Berri
    La Berri is the commonly used nickname for La Berrichonne de Châteauroux, a French professional football club based in Châteauroux.
  • D. Desmarais
    Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
  • E. LaMarche
    LaMarche is the surname of Maurice LaMarche, a Canadian-American voice actor best known for his work on animated series such as "Pinky and the Brain" and "Futurama."
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e9bb2081908515ab6430e9b1c2 completed May 8, 2026, 12:24 p.m.
NEDg Description generation batch_69fdd7002ae08190964482d91f45d4cd completed May 8, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69fdd771cb188190b44d6e4903fa8f6e completed May 8, 2026, 12:30 p.m.
Created at: April 10, 2026, 1:27 a.m.