Triple
T21643752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Huntley |
E534162
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Fred Huntley |
—
|
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: Fred Huntley | Statement: [Fred Huntley, name, Fred Huntley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Huntley Context triple: [Fred Huntley, name, Fred Huntley]
-
A.
Fred Huntley
chosen
Fred Huntley was a British-born silent film actor and director active in early American cinema during the 1910s and 1920s.
-
B.
Huntley Gordon
Huntley Gordon was a Canadian-born American actor known for his prolific work in silent and early sound films during the early 20th century.
-
C.
Fred Hunt
Fred Hunt was a prominent ice hockey coach and executive best known for his long and influential association with the Buffalo Bisons of the American Hockey League.
-
D.
George Hunt
George Hunt was an ethnologist and linguist best known for his extensive documentation of Kwakwaka'wakw culture and the Kwakʼwala language in collaboration with anthropologist Franz Boas.
-
E.
Eugene Hunt
Eugene Hunt is the wealthy, psychopathic Wall Street broker who serves as the primary antagonist in the 1989 thriller film "Blue Steel."
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef53930644819086b0f499e1b8ae63 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.