Triple
T17141748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instituto Aerotécnico Córdoba |
E415980
|
entity |
| Predicate | employedRoleOfKurtTank |
P44925
|
FINISHED |
| Object | chief designer |
—
|
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: chief designer | Statement: [Instituto Aerotécnico Córdoba, employedRoleOfKurtTank, chief designer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employedRoleOfKurtTank Context triple: [Instituto Aerotécnico Córdoba, employedRoleOfKurtTank, chief designer]
-
A.
employedRole
chosen
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
B.
sectorEmploymentRole
Indicates the specific role or function an entity holds within a particular employment sector or industry.
-
C.
depictsPersonRole
Indicates that an image or representation shows a person in a specific role, function, or capacity.
-
D.
roleInTonyStarkLife
Indicates the specific role or significance an entity has in Tony Stark's life.
-
E.
VueltabajoKnownFor
Indicates that Vueltabajo is widely recognized or notable for a particular characteristic, product, or feature.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d5de10819090cbd65661b018d3 |
completed | April 18, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.