Triple
T20062313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Hayers |
E499509
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sidney Hayers |
—
|
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: Sidney Hayers | Statement: [Sidney Hayers, name, Sidney Hayers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidney Hayers Context triple: [Sidney Hayers, name, Sidney Hayers]
-
A.
Sidney Hayers
chosen
Sidney Hayers was a British film and television director and editor known for his work on thrillers, horror films, and popular TV series from the 1950s through the 1980s.
-
B.
Lloyd Bryce
Lloyd Bryce was an American editor, politician, and diplomat best known for his influential leadership of the North American Review in the late 19th century.
-
C.
John Honeyman
John Honeyman was a prominent 19th-century Scottish architect known for designing notable public buildings and observatories.
-
D.
Sidney Earle Smith
Sidney Earle Smith was a Canadian academic and politician who served as president of the University of Toronto and later as Secretary of State for External Affairs.
-
E.
John Hampson
John Hampson was the husband of renowned German actress Therese Giehse.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66376f2d4819081b9e1b265650e5b |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.