Triple
T14628884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Le Tissier |
E343425
|
entity |
| Predicate | scoredForEngland |
P32660
|
FINISHED |
| Object | 0 goals |
—
|
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: 0 goals | Statement: [Matt Le Tissier, scoredForEngland, 0 goals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoredForEngland Context triple: [Matt Le Tissier, scoredForEngland, 0 goals]
-
A.
numberOfEnglandGoals
Indicates the number of goals scored by the England team in a given match or context.
-
B.
englandTries
Indicates that England makes an attempt to perform or achieve a particular action or outcome.
-
C.
englandBonusPointEarned
Indicates that England has obtained an additional bonus point, typically as a result of meeting specific performance criteria in a competition or match.
-
D.
scoredFor
chosen
Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
-
E.
lostByEngland
Indicates that an event, contest, or situation resulted in England being the loser.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a7c8fc81909d10c1f563d7d1e7 |
completed | April 14, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.