Triple
T3596663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Revie |
E76155
|
entity |
| Predicate | InterCitiesFairsCupTitlesWonAsManager |
P30839
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Don Revie, InterCitiesFairsCupTitlesWonAsManager, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: InterCitiesFairsCupTitlesWonAsManager Context triple: [Don Revie, InterCitiesFairsCupTitlesWonAsManager, 2]
-
A.
domesticSupercupWonAsManager
Indicates that the person has won a domestic super cup competition in the role of a team manager.
-
B.
hasWonDomesticCupsAsManager
Indicates that a person, in their role as a manager, has achieved victories in domestic cup competitions.
-
C.
continentalTitleWonAsManager
Indicates that the person has won a continental-level competition title in the role of a manager.
-
D.
UEFAInterCitiesFairsCupTitles
chosen
Indicates the number of UEFA Inter-Cities Fairs Cup titles an entity has won.
-
E.
charityShieldsWonAsManager
Indicates the number of Charity Shield titles an individual has won in the role of team manager.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19b26bc8190b3cc0613a1a98361 |
completed | March 8, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69adb83b66708190bb9d2f23d6fd308e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.