Triple
T8525927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan O’Reilly |
E201816
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Ryan O’Reilly |
E201816
|
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: Ryan O’Reilly | Statement: [Ryan O’Reilly, fullName, Ryan O’Reilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan O’Reilly Context triple: [Ryan O’Reilly, fullName, Ryan O’Reilly]
-
A.
Ryan O’Reilly
chosen
Ryan O’Reilly is a Canadian professional ice hockey center renowned for his two-way play, leadership, and Conn Smythe Trophy–winning performance in leading the St. Louis Blues to the 2019 Stanley Cup.
-
B.
Ryan O'Reily
Ryan O'Reily is a manipulative and street-smart Irish-American inmate known for his scheming and survival tactics in the HBO prison drama series "Oz."
-
C.
Joe Daley
Joe Daley is a former Canadian professional ice hockey goaltender best known for starring with the Winnipeg Jets in the World Hockey Association during the 1970s.
-
D.
Preston D'Ambrosio
Preston D'Ambrosio is a fictional character appearing in the film "In Too Deep."
-
E.
Sean Sullivan
Sean Sullivan is a name shared by several notable individuals, including actors, athletes, and public figures across various fields.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6463fe48190b6d3482212356be1 |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d3fabb08190a3ad63f9153ad44c |
completed | April 2, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:16 p.m.