Triple

T5968894
Position Surface form Disambiguated ID Type / Status
Subject Warren Glacier E132821 entity
Predicate namedAfter P63 FINISHED
Object Warren (namesake unknown)
Warren is an individual whose specific identity is unclear but who is commemorated as the namesake of Warren Glacier.
 E558653 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: Warren (namesake unknown) | Statement: [Warren Glacier, namedAfter, Warren (namesake unknown)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Warren (namesake unknown)
Context triple: [Warren Glacier, namedAfter, Warren (namesake unknown)]
  • A. Mary and Warren
    Mary and Warren are the central married couple in Robert Frost’s narrative poem “The Death of the Hired Man,” whose conversation frames the poem’s exploration of duty, compassion, and home.
  • B. Warren
    Warren is a small city in northern Pennsylvania known for its historic downtown and location along the Allegheny River.
  • C. Warren
    Warren is the given name of Warren E. Burger, the 15th Chief Justice of the United States Supreme Court.
  • D. Warren
    Warren is a large suburban city in southeast Michigan known for its extensive automotive and defense manufacturing industries.
  • E. Warren
    Warren is a rural town in the Orana region of New South Wales, Australia, known for its agriculture and proximity to the Macquarie River.
  • 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: Warren (namesake unknown)
Triple: [Warren Glacier, namedAfter, Warren (namesake unknown)]
Generated description
Warren is an individual whose specific identity is unclear but who is commemorated as the namesake of Warren Glacier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Warren (namesake unknown)
Target entity description: Warren is an individual whose specific identity is unclear but who is commemorated as the namesake of Warren Glacier.
  • A. Mary and Warren
    Mary and Warren are the central married couple in Robert Frost’s narrative poem “The Death of the Hired Man,” whose conversation frames the poem’s exploration of duty, compassion, and home.
  • B. Warren
    Warren is the given name of Warren E. Burger, the 15th Chief Justice of the United States Supreme Court.
  • C. Warren
    Warren is a large suburban city in southeast Michigan known for its extensive automotive and defense manufacturing industries.
  • D. Warren
    Warren is a small city in northern Pennsylvania known for its historic downtown and location along the Allegheny River.
  • E. Warren
    Warren is a rural town in the Orana region of New South Wales, Australia, known for its agriculture and proximity to the Macquarie River.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a40cfe08190a40de42831af7cf8 completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e40506848190843971e772d56054 completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0edb0a0808190b2b6f5fc0d7b7913 completed March 23, 2026, 7:37 a.m.
NED2 Entity disambiguation (via description) batch_69c0ee2ffbc88190a256b5cb8a98f382 completed March 23, 2026, 7:39 a.m.
Created at: March 22, 2026, 4:03 p.m.