Triple

T19443079
Position Surface form Disambiguated ID Type / Status
Subject Antoine Laumet E486399 entity
Predicate familyName P18 FINISHED
Object Laumet
Laumet is a French surname most notably borne by Antoine Laumet, better known as the colonial founder Antoine de la Mothe Cadillac.
 E1375999 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: Laumet | Statement: [Antoine Laumet, familyName, Laumet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laumet
Context triple: [Antoine Laumet, familyName, Laumet]
  • A. Lemore
    Lemore is a mysterious septa and companion to the exiled prince known as Young Griff in George R. R. Martin’s A Song of Ice and Fire series.
  • B. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • C. Lombe
    Lombe is a city located in the Indonesian province of Southeast Sulawesi.
  • D. Samoreau
    Samoreau is a small commune in the Seine-et-Marne department in north-central France, situated near the Seine River and known for its quiet residential character.
  • E. Lornay
    Lornay is a small French commune located in the Haute-Savoie department in southeastern France.
  • 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: Laumet
Triple: [Antoine Laumet, familyName, Laumet]
Generated description
Laumet is a French surname most notably borne by Antoine Laumet, better known as the colonial founder Antoine de la Mothe Cadillac.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laumet
Target entity description: Laumet is a French surname most notably borne by Antoine Laumet, better known as the colonial founder Antoine de la Mothe Cadillac.
  • A. Lemore
    Lemore is a mysterious septa and companion to the exiled prince known as Young Griff in George R. R. Martin’s A Song of Ice and Fire series.
  • B. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • C. Lombe
    Lombe is a city located in the Indonesian province of Southeast Sulawesi.
  • D. Samoreau
    Samoreau is a small commune in the Seine-et-Marne department in north-central France, situated near the Seine River and known for its quiet residential character.
  • E. Lornay
    Lornay is a small French commune located in the Haute-Savoie department in southeastern France.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63386c520819092bea5d7f259a226 completed April 20, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733e38b548190ac54d7e413d97a57 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a07367765988190bc3ebe0f14450696 completed May 15, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_6a0736f33e2c8190b6e2d849e328fa03 completed May 15, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:38 p.m.