Triple
T22730103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Beardsley |
E562110
|
entity |
| Predicate | leagueDebutForNewcastle |
P149500
|
FINISHED |
| Object | 1983 |
—
|
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: 1983 | Statement: [Peter Beardsley, leagueDebutForNewcastle, 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueDebutForNewcastle Context triple: [Peter Beardsley, leagueDebutForNewcastle, 1983]
-
A.
leagueDebutForArsenal
Indicates that an entity made their league debut while playing for Arsenal.
-
B.
leagueDebutForManchesterCity
Indicates that an entity made their first league appearance while playing for Manchester City.
-
C.
leagueDebutForManchesterUnited
Indicates that an entity made their first league appearance while playing for Manchester United.
-
D.
PremierLeagueDebutClub
Indicates the club for which a player made their first appearance in the Premier League.
-
E.
firstSeasonInPremierLeague
Indicates the season in which an entity (typically a football club) first participated in the Premier League.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792cb9cc8190a7c45032427bca1a |
completed | April 29, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:21 p.m.