Triple
T27797445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiago Alcântara |
E702152
|
entity |
| Predicate | signedForLiverpoolFrom |
P149501
|
FINISHED |
| Object | FC Bayern Munich |
—
|
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: FC Bayern Munich | Statement: [Thiago Alcântara, signedForLiverpoolFrom, FC Bayern Munich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signedForLiverpoolFrom Context triple: [Thiago Alcântara, signedForLiverpoolFrom, FC Bayern Munich]
-
A.
joinedLiverpool
chosen
Indicates that an entity became a member of, signed for, or otherwise officially joined Liverpool Football Club.
-
B.
signedFromLeague
Indicates that an entity has been signed or acquired from a specified sports league.
-
C.
signedForRealMadridForFee
Indicates that a person joined Real Madrid by signing a contract in exchange for a specified transfer fee.
-
D.
joinedManchesterUnited
Indicates that an entity became a member of, or signed to play for, Manchester United.
-
E.
LiverpoolManager
Indicates that one entity serves as the manager (head coach) of the football club Liverpool.
- 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_69ef8408e0588190977cffa32dc33a29 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 5:32 p.m.