Triple
T9811792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Dallaglio |
E238289
|
entity |
| Predicate | europeanTitlesWithWasps |
P72489
|
FINISHED |
| Object | Heineken Cup titles |
—
|
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: Heineken Cup titles | Statement: [Lawrence Dallaglio, europeanTitlesWithWasps, Heineken Cup titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: europeanTitlesWithWasps Context triple: [Lawrence Dallaglio, europeanTitlesWithWasps, Heineken Cup titles]
-
A.
europeanTitle
Indicates that an entity holds or is associated with a formal title recognized within a European country or European nobility system.
-
B.
aristocraticTitleIn
Indicates that an entity holds or is associated with a specific aristocratic or noble title within a particular jurisdiction or context.
-
C.
euroTitle
chosen
Indicates that an entity holds or is associated with a European title, such as a championship, honor, or official designation within a European context.
-
D.
epithetOrTitle
Indicates that one entity serves as an epithet, honorific, or formal title used to designate or characterize another entity.
-
E.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another 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.