Triple
T19200559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rory Best |
E470093
|
entity |
| Predicate | tourYearWithBritishAndIrishLions |
P90574
|
FINISHED |
| Object | 2013 |
—
|
LITERAL 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: 2013 | Statement: [Rory Best, tourYearWithBritishAndIrishLions, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourYearWithBritishAndIrishLions Context triple: [Rory Best, tourYearWithBritishAndIrishLions, 2013]
-
A.
LionsTourParticipation
chosen
Indicates participation in a British & Irish Lions rugby tour, linking a person or team to their involvement in that specific touring event.
-
B.
RugbyWorldCupTitleYear
Indicates the year in which a particular Rugby World Cup title was won.
-
C.
rugbyWorldCupWinner
Indicates the team that won a given edition of the Rugby World Cup.
-
D.
rugbyWorldCupAppearance
Indicates that an entity has participated in at least one edition of the Rugby World Cup.
-
E.
RugbyWorldCupTitles
Indicates the number of Rugby World Cup championship titles an entity (typically a national team) has won.
- F. None of above.
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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f997879c8190ae7618d1ba0cede9 |
completed | April 20, 2026, 10:01 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bc158081908307dab01d9478c6 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.