Triple
T14142411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casemiro |
E350458
|
entity |
| Predicate | roleAtRealMadrid |
P13665
|
FINISHED |
| Object | part of midfield trio with Luka Modrić and Toni Kroos |
—
|
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: part of midfield trio with Luka Modrić and Toni Kroos | Statement: [Casemiro, roleAtRealMadrid, part of midfield trio with Luka Modrić and Toni Kroos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtRealMadrid Context triple: [Casemiro, roleAtRealMadrid, part of midfield trio with Luka Modrić and Toni Kroos]
-
A.
joinedRealMadrid
Indicates that an entity became a member of, or started playing for, the Real Madrid football club.
-
B.
leftRealMadrid
Indicates that an entity departed from or is no longer a member of Real Madrid (e.g., a player leaving the club).
-
C.
roleInManchesterCity
Indicates that an entity holds or has held a specific role or position within Manchester City Football Club.
-
D.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
-
E.
playsForClub
Indicates that a person is an active member of and participates in a particular sports club or team.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de611ed3508190add37baa30d1d134 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:48 a.m.