Triple
T16483211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corey Perry |
E400373
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Scorey Perry |
E400373
|
NE FINISHED |
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: Scorey Perry | Statement: [Corey Perry, nickname, Scorey Perry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scorey Perry Context triple: [Corey Perry, nickname, Scorey Perry]
-
A.
Scorey Perry
chosen
Scorey Perry is the nickname of Canadian professional ice hockey player Corey Perry, known for his goal-scoring ability and gritty, competitive style of play in the NHL.
-
B.
Ted Perry
Ted Perry was a British record producer and entrepreneur best known as the founder of the classical music label Hyperion Records.
-
C.
Perry Christie
Perry Christie is a Bahamian politician who served multiple terms as the country's head of government and leader of the Progressive Liberal Party.
-
D.
Neil Perry
Neil Perry is an American local politician who serves as the mayor of Methuen, Massachusetts.
-
E.
Neil Perry
Neil Perry is a central character in the film "Dead Poets Society," a talented and idealistic student whose passion for acting and struggle against authoritarian expectations drive much of the story's emotional impact.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e0420ac81908f9a3548ddb3b1ff |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005820790c819088d953eeea09328d |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:13 a.m.