Triple
T37564039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Peter Greaves |
E933902
|
entity |
| Predicate | totalLeagueGoalsInEngland |
P192187
|
FINISHED |
| Object | 357 |
—
|
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: 357 | Statement: [James Peter Greaves, totalLeagueGoalsInEngland, 357]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalLeagueGoalsInEngland Context triple: [James Peter Greaves, totalLeagueGoalsInEngland, 357]
-
A.
numberOfEnglandGoals
Indicates the number of goals scored by the England team in a given match or context.
-
B.
premierLeagueGoals
Indicates the number of goals an entity has scored in the Premier League.
-
C.
ScotlandGoals
Indicates that the event involves goals scored by the Scotland national football team.
-
D.
footballAssociation
Indicates that one entity is an official governing or organizing body for football (soccer) activities related to another entity (such as a country, region, or league).
-
E.
numberOfEnglandCaps
Indicates the number of times an entity has represented England in official international appearances (caps).
- 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_69f76ecb4acc8190b53f96d0b013e415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
| PDg | Predicate description generation | batch_69fcf82405c88190a19cecf8e9cc272d |
completed | May 7, 2026, 8:37 p.m. |
Created at: May 3, 2026, 4:17 p.m.