Triple
T35881026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Atlético Vélez Sarsfield |
E1037506
|
entity |
| Predicate | managerIn1990s |
P192675
|
FINISHED |
| Object | Carlos Bianchi |
—
|
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: Carlos Bianchi | Statement: [Club Atlético Vélez Sarsfield, managerIn1990s, Carlos Bianchi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managerIn1990s Context triple: [Club Atlético Vélez Sarsfield, managerIn1990s, Carlos Bianchi]
-
A.
hasOwnerIn1990s
Indicates that an entity was owned by a specified owner at some point during the 1990s.
-
B.
managerIn1988
Indicates that the subject entity held the role of manager for the object entity during the year 1988.
-
C.
post1990sRole
Indicates that an entity’s role, function, or position is specifically associated with the period after the 1990s.
-
D.
statusDuring1990s
Indicates the status or condition that held for an entity throughout some or all of the 1990s time period.
-
E.
ownerAfter1993
Indicates that an entity became the owner of another entity at some point after the year 1993.
- F. None of above. chosen
Provenance (4 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
| PDg | Predicate description generation | batch_69fd231bdd108190900369e07c854e95 |
completed | May 7, 2026, 11:41 p.m. |
Created at: May 3, 2026, 4:06 p.m.