Triple
T11568447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Greaves |
E274316
|
entity |
| Predicate | goalsScoredInLeague |
P9098
|
FINISHED |
| Object | Tottenham Hotspur F.C. – 220 league 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: Tottenham Hotspur F.C. – 220 league goals | Statement: [Jimmy Greaves, goalsScoredInLeague, Tottenham Hotspur F.C. – 220 league goals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsScoredInLeague Context triple: [Jimmy Greaves, goalsScoredInLeague, Tottenham Hotspur F.C. – 220 league goals]
-
A.
numberOfGoals
chosen
Indicates the total count of goals scored or achieved by an entity in a given context.
-
B.
scoredGoalSeason
Indicates that an entity scored a goal during a specified season.
-
C.
seasonGoalsRecordSeason
Indicates the specific season in which a particular season goals record was achieved or is valid.
-
D.
topGoalScorerGoals
Indicates the number of goals scored by the top goal scorer in a given context or competition.
-
E.
goalScorerTeam
Indicates that a team is the one for which a particular goal scorer scored a goal.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd543a48190b834abd8e8ae7b65 |
completed | April 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:37 p.m.