Triple
T32557922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuse |
E832140
|
entity |
| Predicate | bearerRoleInWork |
P44925
|
FINISHED |
| Object | co-creator of Lost |
—
|
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: co-creator of Lost | Statement: [Cuse, bearerRoleInWork, co-creator of Lost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerRoleInWork Context triple: [Cuse, bearerRoleInWork, co-creator of Lost]
-
A.
hasRoleInWorkType
Indicates that an entity holds a specific role or function within a particular type or category of work.
-
B.
inUniverseWorkplaceRole
Indicates that an entity holds a specific workplace role or job position within a fictional or narrative universe.
-
C.
socialRoleInWork
Indicates the role or position an entity holds within a work-related or professional social context.
-
D.
basisRole
Indicates that one role serves as the foundational or underlying role upon which another role or function is defined or derived.
-
E.
employedRole
chosen
Indicates that an entity holds or performs a specific role or position within an employment or work context.
- 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 1:03 a.m.