Triple
T21198182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matteo Manfredi |
E522379
|
entity |
| Predicate | roleInSportsOrganization |
P117304
|
FINISHED |
| Object | club president |
—
|
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: club president | Statement: [Matteo Manfredi, roleInSportsOrganization, club president]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSportsOrganization Context triple: [Matteo Manfredi, roleInSportsOrganization, club president]
-
A.
memberOfSportsOrganization
Indicates that an entity belongs to or is affiliated with a specific sports organization or club.
-
B.
roleAtSportsTeam
Indicates the specific position or function an individual holds within a sports team.
-
C.
roleInClub
Indicates that an entity holds a specific position or function within a particular club.
-
D.
hasSportsRole
chosen
Indicates that an entity holds or is assigned a specific role or position within a sports context or organization.
-
E.
memberOfSportsLeague
Indicates that an entity is formally part of, or participates as a member in, a specific sports league.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333d6dec8190bbc66a71b31ea559 |
completed | April 21, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:16 p.m.