Triple
T4202907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riley |
E86110
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Reilly |
E139094
|
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: Reilly | Statement: [Riley, hasVariant, Reilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reilly Context triple: [Riley, hasVariant, Reilly]
-
A.
Reilly
chosen
Reilly is a surname most notably associated with William K. Reilly, an American environmentalist and former administrator of the U.S. Environmental Protection Agency.
-
B.
Myles
Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
-
C.
Romiley
Romiley is a suburban village and residential area within the Metropolitan Borough of Stockport in Greater Manchester, England.
-
D.
Riley
Riley is a surname most famously associated with Pat Riley, the legendary NBA coach and executive.
-
E.
Jackson Healy
Jackson Healy is a tough, no-nonsense enforcer who teams up with a hapless private investigator to unravel a conspiracy in the neo-noir action-comedy film "The Nice Guys."
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af037f1de4819088d6bf544317a694 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a173a78819094915f63c8411602 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:49 p.m.