Triple

T15274927
Position Surface form Disambiguated ID Type / Status
Subject Battery Wheeler E365112 entity
Predicate namedAfter P63 FINISHED
Object Bigelow Wheeler
Bigelow Wheeler was a military figure after whom Battery Wheeler, a coastal defense installation, was named.
E1146470 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: Bigelow Wheeler | Statement: [Battery Wheeler, namedAfter, Bigelow Wheeler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bigelow Wheeler
Context triple: [Battery Wheeler, namedAfter, Bigelow Wheeler]
  • A. Kirtland Cutter
    Kirtland Cutter was a prominent American architect of the late 19th and early 20th centuries, known for his grand, eclectic designs that helped shape the architectural character of the Pacific Northwest.
  • B. Bancroft
    Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
  • C. McCauley
    McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
  • D. Hoyt
    Hoyt is a family surname of English origin borne by various notable individuals, including Mary Hoyt Sherman before her marriage.
  • E. Southworth
    Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
  • 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: Bigelow Wheeler
Triple: [Battery Wheeler, namedAfter, Bigelow Wheeler]
Generated description
Bigelow Wheeler was a military figure after whom Battery Wheeler, a coastal defense installation, was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bigelow Wheeler
Target entity description: Bigelow Wheeler was a military figure after whom Battery Wheeler, a coastal defense installation, was named.
  • A. Kirtland Cutter
    Kirtland Cutter was a prominent American architect of the late 19th and early 20th centuries, known for his grand, eclectic designs that helped shape the architectural character of the Pacific Northwest.
  • B. Bancroft
    Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
  • C. McCauley
    McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
  • D. Hoyt
    Hoyt is a family surname of English origin borne by various notable individuals, including Mary Hoyt Sherman before her marriage.
  • E. Southworth
    Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00952731c8190bf6a5e6e10c95b94 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee6069f488190b74793200e5698ff completed May 9, 2026, 7:45 a.m.
NEDg Description generation batch_69fee82a8ab08190813620457c5357b4 completed May 9, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69fee8cce6c0819084b425b5cd09efe0 completed May 9, 2026, 7:57 a.m.
Created at: April 10, 2026, 3:14 a.m.