Triple
T29433424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Pavard |
E746500
|
entity |
| Predicate | scoredNotableGoalIn |
P120843
|
FINISHED |
| Object | 2018 FIFA World Cup round of 16 vs Argentina |
—
|
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: 2018 FIFA World Cup round of 16 vs Argentina | Statement: [Benjamin Pavard, scoredNotableGoalIn, 2018 FIFA World Cup round of 16 vs Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoredNotableGoalIn Context triple: [Benjamin Pavard, scoredNotableGoalIn, 2018 FIFA World Cup round of 16 vs Argentina]
-
A.
notableGoalScorer
Indicates that the subject is recognized for having scored a significant or noteworthy number of goals, typically in a sports context.
-
B.
scoredGoalsInFinalOf
Indicates that one entity scored one or more goals in the final match of a specified competition or event.
-
C.
famousGoalAgainst
chosen
Indicates that one entity is widely recognized for scoring a notable or iconic goal against another entity.
-
D.
scoredHatTrickAt
Indicates that an entity (typically a player) scored three goals in a single game or match that took place at the specified location or event.
-
E.
goalScorerIn
Indicates that an entity is the player who scored a goal in a particular match or event.
- 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_69f0a7a06e0081908add494075912eb4 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66acb070c8190a3f751d34e7dcf99 |
completed | May 2, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:15 p.m.