Triple
T17864861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Menzies |
E446667
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jim Menzies |
—
|
NE NERFINISHED |
How this triple was built (2 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: Jim Menzies | Statement: [Jim Menzies, name, Jim Menzies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Menzies Context triple: [Jim Menzies, name, Jim Menzies]
-
A.
Jim Menzies
chosen
Jim Menzies is a person notable enough to be recognized as a prominent bearer of the surname Menzies.
-
B.
John Fraser
John Fraser was a Scottish actor known for his roles in British cinema and television from the 1950s onward.
-
C.
Thomas McKay
Thomas McKay was a 19th-century Scottish-born Canadian stonemason, entrepreneur, and early industrialist who played a key role in the development of Ottawa.
-
D.
Johnny Stuart
Johnny Stuart is the adventurous young boy who befriends the friendly sea monster Sigmund in the 1970s children's television series "Sigmund and the Sea Monsters."
-
E.
Jock Sutherland
Jock Sutherland was a prominent early 20th-century American football coach best known for his successful tenure at the University of Pittsburgh and later in the NFL.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49792ccf88190a0984963bb385688 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.