Triple
T10446399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurance Safford |
E246298
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Safford
Safford is a surname of English origin borne by various notable individuals, including figures in American military and political history.
|
E864287
|
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: Safford | Statement: [Laurance Safford, familyName, Safford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safford Context triple: [Laurance Safford, familyName, Safford]
-
A.
Safford, Arizona
Safford, Arizona is a small city in southeastern Arizona that serves as a regional hub for agriculture and outdoor recreation in the Gila Valley.
-
B.
Prescott
Prescott is a historic city in north-central Arizona known for its Old West heritage, Victorian architecture, and role in the early political development of the state.
-
C.
Prescott
Prescott is an Intel Pentium 4 microprocessor core known for introducing several new instruction set extensions and being manufactured on a 90 nm process.
-
D.
Prescott
Prescott is an English-origin surname borne by various notable individuals across politics, sports, and the arts.
-
E.
Prescott
Prescott is a small town in Eastern Ontario, Canada, situated along the St. Lawrence River and known historically as a strategic military and shipping point.
- 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: Safford Triple: [Laurance Safford, familyName, Safford]
Generated description
Safford is a surname of English origin borne by various notable individuals, including figures in American military and political history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Safford Target entity description: Safford is a surname of English origin borne by various notable individuals, including figures in American military and political history.
-
A.
Safford, Arizona
Safford, Arizona is a small city in southeastern Arizona that serves as a regional hub for agriculture and outdoor recreation in the Gila Valley.
-
B.
Prescott
Prescott is a historic city in north-central Arizona known for its Old West heritage, Victorian architecture, and role in the early political development of the state.
-
C.
Prescott
Prescott is an Intel Pentium 4 microprocessor core known for introducing several new instruction set extensions and being manufactured on a 90 nm process.
-
D.
Prescott
Prescott is an English-origin surname borne by various notable individuals across politics, sports, and the arts.
-
E.
Prescott
Prescott is a small town in Eastern Ontario, Canada, situated along the St. Lawrence River and known historically as a strategic military and shipping point.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fdc0520c819098d2d53ee46a89ae |
completed | April 7, 2026, 12:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eeae8788190b63534fa4f942ead |
completed | April 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69d886c3fdcc8190a67a7f7788b8a2e8 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dc15ab481909011c5de93bbab14 |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:16 p.m.