Triple
T9811784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Dallaglio |
E238289
|
entity |
| Predicate | testCapsNumber |
P57796
|
FINISHED |
| Object | 85 |
—
|
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: 85 | Statement: [Lawrence Dallaglio, testCapsNumber, 85]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testCapsNumber Context triple: [Lawrence Dallaglio, testCapsNumber, 85]
-
A.
testCaps
Indicates that an entity is being tested or evaluated for its capacity, capability, or limits in relation to another entity or context.
-
B.
numberOfTestCaps
chosen
Indicates the number of times an individual has appeared in test matches (test caps) for a team or organization.
-
C.
mostCaps
Indicates that the subject entity possesses the greatest number of capital letters (or capitalized elements) compared to a specified set of entities.
-
D.
numberOfCapsules
Indicates the quantity or count of capsules associated with an entity or event.
-
E.
numberOfTests
Indicates the quantity of tests associated with or performed in a given context or entity.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb222ba788190a9085272a3de7852 |
completed | April 2, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cd03e01ea881909a7d93fc3994ace5 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:30 p.m.