Triple
T11320166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincenzo Natali |
E268070
|
entity |
| Predicate | earlyCareerRole |
P61890
|
FINISHED |
| Object | storyboard artist at Nelvana |
—
|
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: storyboard artist at Nelvana | Statement: [Vincenzo Natali, earlyCareerRole, storyboard artist at Nelvana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyCareerRole Context triple: [Vincenzo Natali, earlyCareerRole, storyboard artist at Nelvana]
-
A.
earlyRole
Indicates that an entity held a particular role or position during an early or initial stage of its involvement or development.
-
B.
earlyCareerActivity
chosen
Indicates activities, roles, or engagements undertaken by an entity during the early stage of its career or professional development.
-
C.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
D.
earlyCareerCoach
Indicates that one entity serves as a coach or mentor to another during the early stage of that other entity’s career.
-
E.
laterOperationalRole
Indicates that an entity assumes or is assigned a subsequent operational role after an earlier one in time.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9de875481908acfa56015d4b46f |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.