Triple
T6407116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Fagan |
E127611
|
entity |
| Predicate | cupTitleWonAsStaff |
P31072
|
FINISHED |
| Object | multiple European Cups with Liverpool F.C. |
—
|
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: multiple European Cups with Liverpool F.C. | Statement: [Joe Fagan, cupTitleWonAsStaff, multiple European Cups with Liverpool F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cupTitleWonAsStaff Context triple: [Joe Fagan, cupTitleWonAsStaff, multiple European Cups with Liverpool F.C.]
-
A.
majorTitleWon
Indicates that an entity has won a significant or top-level title, championship, or major award in a given domain.
-
B.
wonLeagueTitle
Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
-
C.
continentalTitleWonAsManager
chosen
Indicates that the person has won a continental-level competition title in the role of a manager.
-
D.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
E.
winnerTitleCount
Indicates the number of titles or championships an entity has won.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068b3541c8190be89b24b313d7300 |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:41 p.m.