Triple

T10594256
Position Surface form Disambiguated ID Type / Status
Subject Fort C. F. Smith E250068 entity
Predicate namedAfter P63 FINISHED
Object C. F. Smith
C. F. Smith was a U.S. Army officer after whom Fort C. F. Smith was named.
E873455 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: C. F. Smith | Statement: [Fort C. F. Smith, namedAfter, C. F. Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C. F. Smith
Context triple: [Fort C. F. Smith, namedAfter, C. F. Smith]
  • A. H. M. Smith
    H. M. Smith was a high-ranking United States Marine Corps officer whose leadership and service led to a major military installation being named in his honor.
  • B. C. Smith
    C. Smith is an author best known for writing the work titled "Gold Digger."
  • C. C. R. Smith
    C. R. Smith was a pioneering American airline executive who transformed American Airlines into a major global carrier and helped shape the modern commercial aviation industry.
  • D. Frederic L. Smith
    Frederic L. Smith was an American industrialist and early automotive pioneer who played a key role in the creation and development of General Motors.
  • E. Frederic C. Williams
    Frederic C. Williams was a British engineer and computer pioneer best known for co-inventing the Williams-Kilburn tube, an early form of computer memory used in some of the first stored-program computers.
  • 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: C. F. Smith
Triple: [Fort C. F. Smith, namedAfter, C. F. Smith]
Generated description
C. F. Smith was a U.S. Army officer after whom Fort C. F. Smith was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: C. F. Smith
Target entity description: C. F. Smith was a U.S. Army officer after whom Fort C. F. Smith was named.
  • A. H. M. Smith
    H. M. Smith was a high-ranking United States Marine Corps officer whose leadership and service led to a major military installation being named in his honor.
  • B. C. Smith
    C. Smith is an author best known for writing the work titled "Gold Digger."
  • C. C. R. Smith
    C. R. Smith was a pioneering American airline executive who transformed American Airlines into a major global carrier and helped shape the modern commercial aviation industry.
  • D. Frederic L. Smith
    Frederic L. Smith was an American industrialist and early automotive pioneer who played a key role in the creation and development of General Motors.
  • E. Frederic C. Williams
    Frederic C. Williams was a British engineer and computer pioneer best known for co-inventing the Williams-Kilburn tube, an early form of computer memory used in some of the first stored-program computers.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278bacd88190a50dedfa59b622fc completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e8de2e88190835954abb2ac2ece completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d95f80d0c48190b88e3a4b3e42279c completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d9602a1d688190ad0f3014d69049cc completed April 10, 2026, 8:40 p.m.
Created at: April 6, 2026, 12:41 p.m.