Triple
T11013755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Nadal |
E260307
|
entity |
| Predicate | hasRivalryWith |
P893
|
FINISHED |
| Object | Andy Murray |
E330102
|
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: Andy Murray | Statement: [Rafael Nadal, hasRivalryWith, Andy Murray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Murray Context triple: [Rafael Nadal, hasRivalryWith, Andy Murray]
-
A.
Andy Murray
chosen
Andy Murray is a Scottish professional tennis player and multiple Grand Slam champion who has been one of Britain’s most successful and prominent sports figures in the modern era.
-
B.
Tom Murray
Tom Murray is a music supervisor known for overseeing and coordinating the musical elements of film and television projects.
-
C.
Tom Murray
Tom Murray was an American character actor of the silent film era, known for his supporting roles in early Hollywood productions.
-
D.
Roger Federer
Roger Federer is a Swiss tennis legend widely regarded as one of the greatest players in the sport’s history, known for his record-breaking Grand Slam titles and elegant playing style.
-
E.
Tomas Berdych
Tomas Berdych is a retired Czech professional tennis player known for his powerful baseline game and for reaching the 2010 Wimbledon final and a career-high world No. 4 ranking.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978b1e888190b297f107f6021b59 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374c238ac81908e0a5eff958d6545 |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.