Triple
T18157325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonardo Jardim |
E434665
|
entity |
| Predicate | managedClub |
P3239
|
FINISHED |
| Object | Al Hilal SFC |
—
|
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: Al Hilal SFC | Statement: [Leonardo Jardim, managedClub, Al Hilal SFC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Hilal SFC Context triple: [Leonardo Jardim, managedClub, Al Hilal SFC]
-
A.
Al Hilal SFC
chosen
Al Hilal SFC is a professional Saudi Arabian football club based in Riyadh and one of Asia’s most successful and popular teams.
-
B.
Al Nassr FC
Al Nassr FC is a prominent Saudi Arabian football club based in Riyadh that gained major global attention after signing Portuguese star Cristiano Ronaldo.
-
C.
Al Ahli Saudi FC
Al Ahli Saudi FC is one of Saudi Arabia’s most successful and popular football clubs, based in Jeddah and known for its rich history and passionate fanbase.
-
D.
Al Riyadh SC
Al Riyadh SC is a professional football club based in Riyadh, Saudi Arabia, competing in the country’s top-tier league system.
-
E.
Al Sadd SC
Al Sadd SC is a prominent professional football club based in Doha, Qatar, known as one of the country’s most successful and popular teams.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 10:30 a.m.