Triple

T10657020
Position Surface form Disambiguated ID Type / Status
Subject Arland D. Williams Jr. E251117 entity
Predicate givenName P17 FINISHED
Object Arland
Arland is a masculine given name most notably borne by Arland D. Williams Jr., a U.S. bank examiner remembered for his heroism during the 1982 Air Florida Flight 90 crash.
 E877788 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: Arland | Statement: [Arland D. Williams Jr., givenName, Arland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arland
Context triple: [Arland D. Williams Jr., givenName, Arland]
  • A. Nyland
    Nyland is the historical Swedish name for the coastal region of southern Finland now known as Uusimaa.
  • B. Alland
    Alland is a small market town in Lower Austria known for its scenic location in the Vienna Woods and its role as a local recreational and residential community.
  • C. Anholt
    Anholt is a small Danish island in the Kattegat Sea known for its extensive desert-like heathland and remote, sparsely populated landscape.
  • D. Mykland
    Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
  • E. Tartumaa
    Tartumaa is a historical region in southeastern Estonia centered around the city of Tartu, known for its cultural and educational significance.
  • 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: Arland
Triple: [Arland D. Williams Jr., givenName, Arland]
Generated description
Arland is a masculine given name most notably borne by Arland D. Williams Jr., a U.S. bank examiner remembered for his heroism during the 1982 Air Florida Flight 90 crash.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arland
Target entity description: Arland is a masculine given name most notably borne by Arland D. Williams Jr., a U.S. bank examiner remembered for his heroism during the 1982 Air Florida Flight 90 crash.
  • A. Nyland
    Nyland is the historical Swedish name for the coastal region of southern Finland now known as Uusimaa.
  • B. Alland
    Alland is a small market town in Lower Austria known for its scenic location in the Vienna Woods and its role as a local recreational and residential community.
  • C. Anholt
    Anholt is a small Danish island in the Kattegat Sea known for its extensive desert-like heathland and remote, sparsely populated landscape.
  • D. Mykland
    Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
  • E. Tartumaa
    Tartumaa is a historical region in southeastern Estonia centered around the city of Tartu, known for its cultural and educational significance.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e0157dbc81909ef7d61f65b2fd93 completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a7aa490819094c7eaf3fc5e2c43 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97ef6d9a881909d688cb8c948f491 completed April 10, 2026, 10:51 p.m.
NED2 Entity disambiguation (via description) batch_69d97f700f188190808fcf2f14403980 completed April 10, 2026, 10:53 p.m.
Created at: April 8, 2026, 9:07 p.m.