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.