Triple

T4607959
Position Surface form Disambiguated ID Type / Status
Subject Clement Clarke Moore E100482 entity
Predicate parent P120 FINISHED
Object Benjamin Moore
Benjamin Moore was an American Episcopal bishop and academic who served as the second bishop of New York and president of Columbia College in the early 19th century.
 E456441 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: Benjamin Moore | Statement: [Clement Clarke Moore, parent, Benjamin Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benjamin Moore
Context triple: [Clement Clarke Moore, parent, Benjamin Moore]
  • A. PPG
    PPG is the IATA airport code for Pago Pago International Airport, the main air gateway to American Samoa.
  • B. PPG Industries
    PPG Industries is a global American company specializing in paints, coatings, and specialty materials for industrial, commercial, and consumer markets.
  • C. Wegmann & Co
    Wegmann & Co was a German defense and rail vehicle manufacturer that became part of Krauss-Maffei Wegmann through a merger.
  • D. Sherwin
    Sherwin is a surname most notably associated with Martin J. Sherwin, an American historian known for his work on nuclear history and the life of J. Robert Oppenheimer.
  • E. Goodman
    Goodman is a common English-language surname borne by numerous notable individuals across fields such as philosophy, arts, and entertainment.
  • 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: Benjamin Moore
Triple: [Clement Clarke Moore, parent, Benjamin Moore]
Generated description
Benjamin Moore was an American Episcopal bishop and academic who served as the second bishop of New York and president of Columbia College in the early 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benjamin Moore
Target entity description: Benjamin Moore was an American Episcopal bishop and academic who served as the second bishop of New York and president of Columbia College in the early 19th century.
  • A. PPG
    PPG is the IATA airport code for Pago Pago International Airport, the main air gateway to American Samoa.
  • B. PPG Industries
    PPG Industries is a global American company specializing in paints, coatings, and specialty materials for industrial, commercial, and consumer markets.
  • C. Wegmann & Co
    Wegmann & Co was a German defense and rail vehicle manufacturer that became part of Krauss-Maffei Wegmann through a merger.
  • D. Sherwin
    Sherwin is a surname most notably associated with Martin J. Sherwin, an American historian known for his work on nuclear history and the life of J. Robert Oppenheimer.
  • E. Goodman
    Goodman is a common English-language surname borne by numerous notable individuals across fields such as philosophy, arts, and entertainment.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599debdc81909d11d0e871c666bb completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa789cdc8190add02a5970f9a0b6 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfb385ccc8190ab8de82c6df645cf completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdfbcdb6d881909feb3a6be81a567f completed March 21, 2026, 2 a.m.
Created at: March 20, 2026, 1:12 p.m.