Triple
T27181552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lene Christensen |
E683204
|
entity |
| Predicate | typeOfGoalkeeper |
P34552
|
FINISHED |
| Object | women's association football goalkeeper |
—
|
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: women's association football goalkeeper | Statement: [Lene Christensen, typeOfGoalkeeper, women's association football goalkeeper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfGoalkeeper Context triple: [Lene Christensen, typeOfGoalkeeper, women's association football goalkeeper]
-
A.
goalkeeperPositionRequirement
Indicates the required or expected positioning of a goalkeeper relative to the play, goal, or field in a given situation.
-
B.
goaltender
chosen
Indicates a relationship where an entity serves as the goalkeeper or primary defender of the goal for a team in a game or sport.
-
C.
goalkeeperAction
Indicates actions performed by a goalkeeper in the context of defending the goal, such as saving, catching, blocking, or distributing the ball.
-
D.
backupGoalkeeper
Indicates that one entity serves as the secondary or reserve goalkeeper for another team or primary goalkeeper.
-
E.
goalkeeperInFinal
Indicates that an entity served as a goalkeeper in the final match of a competition.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: April 27, 2026, 9:28 a.m.