Triple

T16641937
Position Surface form Disambiguated ID Type / Status
Subject William Lanteau E404359 entity
Predicate familyName P18 FINISHED
Object Lanteau
Lanteau is a relatively uncommon surname, most notably associated with American character actor William Lanteau.
 E1225459 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: Lanteau | Statement: [William Lanteau, familyName, Lanteau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lanteau
Context triple: [William Lanteau, familyName, Lanteau]
  • A. La Plaine
    La Plaine is a village in the canton of Geneva, Switzerland, situated near the French border and served as a terminus by the regional railway network.
  • B. Matapouri
    Matapouri is a small coastal settlement in New Zealand known for its scenic beach, sheltered bay, and nearby natural attractions such as Mermaid Pools.
  • C. Terre-de-Haut
    Terre-de-Haut is a small Caribbean island in the Guadeloupe archipelago, known for its picturesque bay, Creole culture, and popular seaside tourism.
  • D. Meldois
    Meldois is the French demonym for inhabitants of the city of Meaux, located in the Île-de-France region.
  • E. The Plateau
    The Plateau is a trendy, artsy neighborhood in Montreal known for its colorful row houses, vibrant street art, and lively café and nightlife scene.
  • 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: Lanteau
Triple: [William Lanteau, familyName, Lanteau]
Generated description
Lanteau is a relatively uncommon surname, most notably associated with American character actor William Lanteau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lanteau
Target entity description: Lanteau is a relatively uncommon surname, most notably associated with American character actor William Lanteau.
  • A. La Plaine
    La Plaine is a village in the canton of Geneva, Switzerland, situated near the French border and served as a terminus by the regional railway network.
  • B. Matapouri
    Matapouri is a small coastal settlement in New Zealand known for its scenic beach, sheltered bay, and nearby natural attractions such as Mermaid Pools.
  • C. Terre-de-Haut
    Terre-de-Haut is a small Caribbean island in the Guadeloupe archipelago, known for its picturesque bay, Creole culture, and popular seaside tourism.
  • D. Meldois
    Meldois is the French demonym for inhabitants of the city of Meaux, located in the Île-de-France region.
  • E. The Plateau
    The Plateau is a trendy, artsy neighborhood in Montreal known for its colorful row houses, vibrant street art, and lively café and nightlife scene.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad1a7748190aa9308d4e96c566c completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bb4cec819091d9b7b2a09248ee completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a00853af11881908e0e61fb352e2e87 completed May 10, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0085f2fd2881908b31bd57790acb74 completed May 10, 2026, 1:19 p.m.
Created at: April 10, 2026, 5:18 a.m.