Triple
T6209892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William G. Davis Trail |
E138839
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Bill Davis
Bill Davis was a notable individual significant enough in his community or region to have the William G. Davis Trail named in his honor.
|
E577855
|
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: Bill Davis | Statement: [William G. Davis Trail, namedAfter, Bill Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Davis Context triple: [William G. Davis Trail, namedAfter, Bill Davis]
-
A.
Gordon Davis
Gordon Davis is a pseudonym used by E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
B.
Bob Davies
Bob Davies was an American Hall of Fame point guard renowned for leading the Rochester Royals to early professional basketball success in the 1940s and 1950s.
-
C.
Jim Harris
Jim Harris is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts.
-
D.
Jim Harris
Jim Harris is a technology executive best known as one of the founders of the computer company Compaq.
-
E.
Thomas Kinnear
Thomas Kinnear is a fictional Canadian gentleman and murder victim in Margaret Atwood’s novel "Alias Grace," whose death is central to the story’s mystery.
- 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: Bill Davis Triple: [William G. Davis Trail, namedAfter, Bill Davis]
Generated description
Bill Davis was a notable individual significant enough in his community or region to have the William G. Davis Trail named in his honor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bill Davis Target entity description: Bill Davis was a notable individual significant enough in his community or region to have the William G. Davis Trail named in his honor.
-
A.
Gordon Davis
Gordon Davis is a pseudonym used by E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
B.
Bob Davies
Bob Davies was an American Hall of Fame point guard renowned for leading the Rochester Royals to early professional basketball success in the 1940s and 1950s.
-
C.
Jim Harris
Jim Harris is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts.
-
D.
Jim Harris
Jim Harris is a technology executive best known as one of the founders of the computer company Compaq.
-
E.
Thomas Kinnear
Thomas Kinnear is a fictional Canadian gentleman and murder victim in Margaret Atwood’s novel "Alias Grace," whose death is central to the story’s mystery.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0628850bc819080a26c5e05a1d29f |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20da55e3c81909a61471b38e88894 |
completed | March 24, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_69c2138258c88190a953345a34ba70ed |
completed | March 24, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c21434d18c81909b5921db80090e8e |
completed | March 24, 2026, 4:33 a.m. |
Created at: March 22, 2026, 4:21 p.m.