Triple
T29290084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spain vs Morocco (2018 FIFA World Cup Group B) |
E742636
|
entity |
| Predicate | spainCoach |
P168134
|
FINISHED |
| Object | Fernando Hierro |
—
|
NE NERFINISHED |
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: Fernando Hierro | Statement: [Spain vs Morocco (2018 FIFA World Cup Group B), spainCoach, Fernando Hierro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spainCoach Context triple: [Spain vs Morocco (2018 FIFA World Cup Group B), spainCoach, Fernando Hierro]
-
A.
barcelonaCoach
Indicates that one entity serves as the coach or manager of the Barcelona football team during a given period.
-
B.
atleticoMadridCoach
Indicates that one entity serves as the coach or manager of the Atlético Madrid football team.
-
C.
realMadridManager
Indicates that one entity serves as the manager (head coach) of the Real Madrid football team.
-
D.
equalisingGoalScorerForSpain
Indicates that the referenced entity is the player who scored the goal that brought Spain’s score level with their opponent.
-
E.
Jorge Garbajosa_position
Indicates the playing position or role that Jorge Garbajosa occupies in his sport.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 1:01 p.m.