Triple
T18371490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Day |
E446190
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peter Day |
—
|
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: Peter Day | Statement: [Peter Day, name, Peter Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Day Context triple: [Peter Day, name, Peter Day]
-
A.
Peter Day
chosen
Peter Day was a distinguished British chemist renowned for his contributions to solid-state and materials chemistry, particularly in the study of mixed-valence compounds and electronic properties of inorganic materials.
-
B.
Stephen Day
Stephen Day is a notable individual whose surname is "Day," though additional context is needed to specify his particular achievements or historical significance.
-
C.
Paul Day
Paul Day is a Canadian lacrosse coach and former player best known for leading professional box lacrosse teams in the National Lacrosse League.
-
D.
Stephen Dyer
Stephen Dyer is a screenwriter best known for co-writing the 2011 romantic comedy film "Hysteria."
-
E.
Peter Jessop
Peter Jessop is an American actor and voice actor best known for his work in video games, animation, and television.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5175324e48190a00572e15423feb7 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:44 a.m.