Triple
T6685580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petr Čech |
E152091
|
entity |
| Predicate | clubDebutForArsenalYear |
P31380
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Petr Čech, clubDebutForArsenalYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubDebutForArsenalYear Context triple: [Petr Čech, clubDebutForArsenalYear, 2015]
-
A.
firstSeasonInPremierLeague
Indicates the season in which an entity (typically a football club) first participated in the Premier League.
-
B.
clubDebutSeason
chosen
Indicates the season in which an entity (typically a player) first appeared in competitive action for a particular club.
-
C.
WorldCupDebutYear
Indicates the year in which an entity (typically a team or player) first participated in a World Cup tournament.
-
D.
clubDebutYearForParisSaintGermain
Indicates the year in which an entity made its club debut for Paris Saint-Germain.
-
E.
leagueDebutForManchesterUnited
Indicates that an entity made their first league appearance while playing for Manchester United.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:04 p.m.