Triple
T24564656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 British & Irish Lions tour to New Zealand |
E607747
|
entity |
| Predicate | testSeriesCaptain |
P36940
|
FINISHED |
| Object | Brian O’Driscoll |
—
|
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: Brian O’Driscoll | Statement: [2005 British & Irish Lions tour to New Zealand, testSeriesCaptain, Brian O’Driscoll]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testSeriesCaptain Context triple: [2005 British & Irish Lions tour to New Zealand, testSeriesCaptain, Brian O’Driscoll]
-
A.
numberOfTestsAsCaptain
Indicates the total count of test matches in which an entity served in the role of captain.
-
B.
testSeriesOf
Indicates that one entity is a test or evaluation designed to be applied sequentially or collectively to a series of related entities.
-
C.
testMatchesAsCaptain
Indicates that the subject participated in matches specifically in the role or capacity of a captain.
-
D.
testSeriesRole
chosen
Indicates the specific role or function an entity has within a test series or sequence of tests.
-
E.
assistantCaptain
Indicates that one entity serves as the assistant or deputy to another entity who holds the role of captain.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f9d0f881909afc04537c32f76b |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:28 a.m.