Triple
T12244059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rory McIlroy |
E291805
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rory |
E619741
|
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: Rory | Statement: [Rory McIlroy, givenName, Rory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rory Context triple: [Rory McIlroy, givenName, Rory]
-
A.
Rory
chosen
Rory is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
-
B.
Rory O'Moore
Rory O'Moore was an Irish Catholic nobleman and leader who played a central role in organizing and initiating the Irish Rebellion of 1641 against English rule.
-
C.
Rory Nolan
Rory Nolan is one of the children of British film producer Emma Thomas and director Christopher Nolan.
-
D.
Rory Byrne
Rory Byrne is a renowned South African Formula One engineer and car designer best known for creating multiple championship-winning Ferraris during Michael Schumacher’s dominant era.
-
E.
Rory Read
Rory Read is a technology executive best known for serving as CEO of Advanced Micro Devices (AMD) and holding senior leadership roles at major tech companies.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb724448190be29fc1d2b946ab7 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab7b9308190b621b71d75aa10cc |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.