Triple
T10791290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Eales |
E254583
|
entity |
| Predicate | roleIn1999WorldCup |
P95498
|
FINISHED |
| Object | captain |
—
|
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: captain | Statement: [John Eales, roleIn1999WorldCup, captain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleIn1999WorldCup Context triple: [John Eales, roleIn1999WorldCup, captain]
-
A.
roleAt2006WorldCup
Indicates the specific role or position an entity held in relation to the 2006 FIFA World Cup.
-
B.
roleAt2014WorldCup
Indicates the specific role or position an entity held in relation to the 2014 FIFA World Cup.
-
C.
positionIn1990WorldCup
Indicates the finishing place or rank an entity achieved in the 1990 FIFA World Cup tournament.
-
D.
representsInWorldCup
Indicates that an entity (such as a player or team) participates as a representative of a country or organization in a FIFA World Cup tournament.
-
E.
WorldCupThirdPlacePlayoffOpponent
Indicates that one team is the opponent of another team in a FIFA World Cup third-place playoff match.
- F. None of above. chosen
Provenance (4 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732f6dfcc81909096895c588ef46f |
completed | April 9, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69d6f316940c819092a96c429629fdef |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa334b8c819082eaf8537084c323 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:17 p.m.