Triple
T17890565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benoit Blanc |
E447302
|
entity |
| Predicate | hasFutureWorkAnnounced |
P129176
|
FINISHED |
| Object | third Knives Out film |
—
|
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: third Knives Out film | Statement: [Benoit Blanc, hasFutureWorkAnnounced, third Knives Out film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFutureWorkAnnounced Context triple: [Benoit Blanc, hasFutureWorkAnnounced, third Knives Out film]
-
A.
hasSubsequentWork
Indicates that one work is followed by another work that continues, succeeds, or builds upon it in sequence.
-
B.
hasWorkBy
Indicates that one entity (such as a collection, exhibition, or publication) includes or contains creative works produced by another entity (such as an artist, author, or creator).
-
C.
hasWorkOn
Indicates that one entity is associated with, contributes to, or performs work on another entity (such as a project, task, or artifact).
-
D.
hasFutureMissionPlanned
Indicates that an entity has a mission or task scheduled to occur at a future time.
-
E.
hasWorkCount
Indicates the number of works (such as items, creations, or outputs) associated with a given entity.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7948888190b59ddc7061d13e84 |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:18 a.m.