Triple

T8178614
Position Surface form Disambiguated ID Type / Status
Subject Lick Observatory E191002 entity
Predicate architect P184 FINISHED
Object S. W. Bugbee
S. W. Bugbee was an architect known for designing the historic Lick Observatory in California.
 E717910 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: S. W. Bugbee | Statement: [Lick Observatory, architect, S. W. Bugbee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S. W. Bugbee
Context triple: [Lick Observatory, architect, S. W. Bugbee]
  • A. John W. Orrock
    John W. Orrock was an architect known for his work on prominent Canadian public buildings, including the structure now known as the Senate of Canada Building.
  • B. Philip J. Suess
    Philip J. Suess is an American politician who serves as the mayor of Wheaton, Illinois.
  • C. Charles E. Whittaker
    Charles E. Whittaker was an Associate Justice of the U.S. Supreme Court in the late 1950s and early 1960s, known for his often moderate and sometimes conflicted positions on key constitutional issues.
  • D. George N. Clements
    George N. Clements was an influential linguist and phonologist known for his work on feature geometry and the theory of syllable structure.
  • E. Fred M. Wilcox
    Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
  • 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: S. W. Bugbee
Triple: [Lick Observatory, architect, S. W. Bugbee]
Generated description
S. W. Bugbee was an architect known for designing the historic Lick Observatory in California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S. W. Bugbee
Target entity description: S. W. Bugbee was an architect known for designing the historic Lick Observatory in California.
  • A. John W. Orrock
    John W. Orrock was an architect known for his work on prominent Canadian public buildings, including the structure now known as the Senate of Canada Building.
  • B. Philip J. Suess
    Philip J. Suess is an American politician who serves as the mayor of Wheaton, Illinois.
  • C. Charles E. Whittaker
    Charles E. Whittaker was an Associate Justice of the U.S. Supreme Court in the late 1950s and early 1960s, known for his often moderate and sometimes conflicted positions on key constitutional issues.
  • D. George N. Clements
    George N. Clements was an influential linguist and phonologist known for his work on feature geometry and the theory of syllable structure.
  • E. Fred M. Wilcox
    Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4abb66bc81908d758c7af2e23ac6 completed March 31, 2026, 4:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced64c9588190b8db6452c364347d completed April 1, 2026, 10:03 a.m.
NEDg Description generation batch_69ccf09a952c8190ace6a9f0012ad90a completed April 1, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69cd0579b6d08190a5c68d730e1c6284 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:40 p.m.