Triple
T20925840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Riley |
E515340
|
entity |
| Predicate | hasAlternativeTitle |
P39
|
FINISHED |
| Object | John Reilly |
—
|
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: John Reilly | Statement: [John Riley, hasAlternativeTitle, John Reilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Reilly Context triple: [John Riley, hasAlternativeTitle, John Reilly]
-
A.
John Reilly
John Reilly is a musician known for being a member of the Irish-American Celtic rock band O'Malley's March.
-
B.
John Reilly
John Reilly was an American actor best known for his long-running roles on daytime soap operas such as General Hospital and Passions.
-
C.
John R. Reilly
John R. Reilly was an American actor known for his role in the World War II film "The Story of G.I. Joe."
-
D.
John C. Reilly
John C. Reilly is an American actor known for his versatile performances in both dramatic films and broad comedies, including roles in movies like "Chicago," "Boogie Nights," and "Step Brothers."
-
E.
John Dailey
John Dailey is an American politician serving as the mayor of Tallahassee, Florida.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f65200b08190ac208204a20f5a6a |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.