Triple

T18468515
Position Surface form Disambiguated ID Type / Status
Subject Bernard Langlais E451228 entity
Predicate hasHeritage P1494 FINISHED
Object Mainer
A Mainer is a person from the U.S. state of Maine, often associated with the region’s coastal, rural, and independent New England culture.
 E29256 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: Mainer | Statement: [Bernard Langlais, hasHeritage, Mainer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mainer
Context triple: [Bernard Langlais, hasHeritage, Mainer]
  • A. Collen Maine
    Collen Maine is a South African politician best known for serving as president of the African National Congress Youth League.
  • B. Maine-Soroa
    Maine-Soroa is a town in southeastern Niger, located in the Diffa Region near the border with Nigeria and serving as a local administrative and market center.
  • C. Strong, Maine
    Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
  • D. Maine
    Maine is an American rapper, songwriter, and record executive best known as the president of Young Money Entertainment.
  • E. Maine
    Maine is a northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
  • 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: Mainer
Triple: [Bernard Langlais, hasHeritage, Mainer]
Generated description
A Mainer is a person from the U.S. state of Maine, often associated with the region’s coastal, rural, and independent New England culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mainer
Target entity description: A Mainer is a person from the U.S. state of Maine, often associated with the region’s coastal, rural, and independent New England culture.
  • A. Collen Maine
    Collen Maine is a South African politician best known for serving as president of the African National Congress Youth League.
  • B. Maine-Soroa
    Maine-Soroa is a town in southeastern Niger, located in the Diffa Region near the border with Nigeria and serving as a local administrative and market center.
  • C. Strong, Maine
    Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
  • D. Maine
    Maine is an American rapper, songwriter, and record executive best known as the president of Young Money Entertainment.
  • E. Maine chosen
    Maine is a northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
  • F. None of above.

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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a857b1481908ebfcf832c83376f completed April 19, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f26ef7881908b594437995d7cbc completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a044369a6e08190b022d5a85dc8abde completed May 13, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_6a044bebd01081909b03b9dbb44f0b30 completed May 13, 2026, 10:01 a.m.
Created at: April 10, 2026, 11:34 a.m.