Triple
T18157345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonardo Jardim |
E434665
|
entity |
| Predicate | positionInFootball |
P11751
|
FINISHED |
| Object | manager |
—
|
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: manager | Statement: [Leonardo Jardim, positionInFootball, manager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInFootball Context triple: [Leonardo Jardim, positionInFootball, manager]
-
A.
relativePositionInStadium
Indicates the spatial relationship between entities based on where they are located relative to each other within a stadium.
-
B.
positionInLineup
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
-
C.
positionInCourt
Indicates the specific role or standing an entity holds within a court setting or judicial proceeding.
-
D.
clubPosition
Indicates the specific role or position an individual holds within a sports club or team.
-
E.
playsInPosition
chosen
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4debf43348190a22f23a4bbfab433 |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.