Triple
T8641356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Wilson Hurlburt |
E204655
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hurlburt
Hurlburt is a surname of English origin borne by various notable individuals across fields such as politics, the military, and academia.
|
E747360
|
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: Hurlburt | Statement: [Donald Wilson Hurlburt, familyName, Hurlburt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurlburt Context triple: [Donald Wilson Hurlburt, familyName, Hurlburt]
-
A.
Barksdale
Barksdale is a surname most notably associated with American executive Jim Barksdale, former CEO of Netscape Communications.
-
B.
McKeen
McKeen is a surname that functions as a variant spelling of the name McKean, commonly of Irish or Scottish origin.
-
C.
Widnall
Widnall is the surname of Sheila Widnall, an American aerospace engineer and former Secretary of the U.S. Air Force.
-
D.
Hibler
Hibler is a surname most notably associated with Winston Hibler, an American screenwriter, producer, and narrator known for his work on Walt Disney nature documentaries and animated films.
-
E.
Devers
Devers is a surname most notably associated with U.S. Army General Jacob L. Devers, a senior commander in the European Theater during World War II.
- 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: Hurlburt Triple: [Donald Wilson Hurlburt, familyName, Hurlburt]
Generated description
Hurlburt is a surname of English origin borne by various notable individuals across fields such as politics, the military, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hurlburt Target entity description: Hurlburt is a surname of English origin borne by various notable individuals across fields such as politics, the military, and academia.
-
A.
Barksdale
Barksdale is a surname most notably associated with American executive Jim Barksdale, former CEO of Netscape Communications.
-
B.
McKeen
McKeen is a surname that functions as a variant spelling of the name McKean, commonly of Irish or Scottish origin.
-
C.
Widnall
Widnall is the surname of Sheila Widnall, an American aerospace engineer and former Secretary of the U.S. Air Force.
-
D.
Hibler
Hibler is a surname most notably associated with Winston Hibler, an American screenwriter, producer, and narrator known for his work on Walt Disney nature documentaries and animated films.
-
E.
Devers
Devers is a surname most notably associated with U.S. Army General Jacob L. Devers, a senior commander in the European Theater during World War II.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4795b07081908bfc9ebf35a50f07 |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc3b1f508190978df29d995f494c |
completed | April 2, 2026, 6:58 p.m. |
| NEDg | Description generation | batch_69cebf12eec081909c40ccced9c1c52b |
completed | April 2, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebf7302b08190bdfc84aac3147954 |
completed | April 2, 2026, 7:11 p.m. |
Created at: March 30, 2026, 6:28 p.m.