Triple
T9593377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dune: Messiah (planned film) |
E231471
|
entity |
| Predicate | hasSourceMaterialPublicationYear |
P69307
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [Dune: Messiah (planned film), hasSourceMaterialPublicationYear, 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSourceMaterialPublicationYear Context triple: [Dune: Messiah (planned film), hasSourceMaterialPublicationYear, 1969]
-
A.
relatedWorkPublicationYear
chosen
Indicates the year in which a related work associated with the primary entity was published.
-
B.
collectedInPublicationYear
Indicates that the collecting event or data record was documented in a publication that appeared in the specified year.
-
C.
lastPublicationYear
Indicates the year in which an entity’s most recent publication was released.
-
D.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
E.
correctedProofPublicationYear
Indicates the year in which a corrected version of a previously published proof was formally published.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a134b0c81908a568e5d2ecfbb92 |
completed | April 1, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a359788190b24f82399489f7fe |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:07 p.m.