Triple

T3407699
Position Surface form Disambiguated ID Type / Status
Subject Clark Glacier E71813 entity
Predicate namedAfter P63 FINISHED
Object Clark
Clark is the person after whom Clark Glacier was named, likely an explorer, surveyor, or notable figure associated with the glacier’s discovery or study.
 E119775 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: Clark | Statement: [Clark Glacier, namedAfter, Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clark
Context triple: [Clark Glacier, namedAfter, Clark]
  • A. Clark
    Clark is the middle name of Herbert Hoover, the 31st president of the United States.
  • B. Clark
    Clark is a common English-language surname borne by numerous notable individuals across fields such as literature, politics, science, and entertainment.
  • C. Clayton
    Clayton is the protagonist of Harriet Beecher Stowe’s anti-slavery novel "Dred: A Tale of the Great Dismal Swamp," through whom themes of morality, justice, and the complexities of slavery are explored.
  • D. Clayton
    Clayton is a town in Johnston County, North Carolina, known as a growing suburban community within the Raleigh metropolitan area.
  • E. Clayton
    Clayton is a district in east Manchester, England, known for its residential character and proximity to the city’s industrial and sporting landmarks.
  • 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: Clark
Triple: [Clark Glacier, namedAfter, Clark]
Generated description
Clark is the person after whom Clark Glacier was named, likely an explorer, surveyor, or notable figure associated with the glacier’s discovery or study.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clark
Target entity description: Clark is the person after whom Clark Glacier was named, likely an explorer, surveyor, or notable figure associated with the glacier’s discovery or study.
  • A. Clark
    Clark is the middle name of Herbert Hoover, the 31st president of the United States.
  • B. Clark chosen
    Clark is a common English-language surname borne by numerous notable individuals across fields such as literature, politics, science, and entertainment.
  • C. Clayton
    Clayton is the protagonist of Harriet Beecher Stowe’s anti-slavery novel "Dred: A Tale of the Great Dismal Swamp," through whom themes of morality, justice, and the complexities of slavery are explored.
  • D. Clayton
    Clayton is a town in Johnston County, North Carolina, known as a growing suburban community within the Raleigh metropolitan area.
  • E. Clayton
    Clayton is a small city in northeastern Georgia, United States, known as a gateway to the Blue Ridge Mountains and nearby outdoor recreation areas.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8ede9c48190b13b0f5e7474e7fa completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bdaf06c8190a8102a4e3c728066 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e486c3c81908e73c5b75baf119c completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34fc420b08190baee678721b1b32c completed March 12, 2026, 11:44 p.m.
Created at: March 8, 2026, 3:15 p.m.