Triple
T16355738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottish Claymores |
E397173
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Craig Nall
Craig Nall is a former American football quarterback who played in NFL Europe and the NFL, most notably as a backup for the Green Bay Packers.
|
E1245485
|
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: Craig Nall | Statement: [Scottish Claymores, notablePlayer, Craig Nall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Nall Context triple: [Scottish Claymores, notablePlayer, Craig Nall]
-
A.
Craig Barnett
Craig Barnett is an actor known for his role in the 2001 biographical television film "James Dean."
-
B.
Craig Weller
Craig Weller is an American entrepreneur best known as one of the co-founders of the natural and organic grocery chain Whole Foods Market.
-
C.
Craig Weller
Craig Weller is a business figure known for co-founding an enterprise alongside Renee Lawson Hardy.
-
D.
Craig Mackinlay
Craig Mackinlay is a British Conservative Party politician who has served as the Member of Parliament for the South Thanet constituency.
-
E.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
- 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: Craig Nall Triple: [Scottish Claymores, notablePlayer, Craig Nall]
Generated description
Craig Nall is a former American football quarterback who played in NFL Europe and the NFL, most notably as a backup for the Green Bay Packers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Craig Nall Target entity description: Craig Nall is a former American football quarterback who played in NFL Europe and the NFL, most notably as a backup for the Green Bay Packers.
-
A.
Craig Barnett
Craig Barnett is an actor known for his role in the 2001 biographical television film "James Dean."
-
B.
Craig Weller
Craig Weller is an American entrepreneur best known as one of the co-founders of the natural and organic grocery chain Whole Foods Market.
-
C.
Craig Weller
Craig Weller is a business figure known for co-founding an enterprise alongside Renee Lawson Hardy.
-
D.
Craig Mackinlay
Craig Mackinlay is a British Conservative Party politician who has served as the Member of Parliament for the South Thanet constituency.
-
E.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2face3a54819099418edd0eecc963 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b31b3b4819095d0c24ee471e2a9 |
completed | May 10, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_6a011ba6787081909707739412271348 |
completed | May 10, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011c05dbcc81909dda19bc181def21 |
completed | May 11, 2026, midnight |
Created at: April 10, 2026, 5:07 a.m.