Triple
T3139168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birth of a Prince |
E65601
|
entity |
| Predicate | previousWorkPublicationYear |
P17927
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [Birth of a Prince, previousWorkPublicationYear, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousWorkPublicationYear Context triple: [Birth of a Prince, previousWorkPublicationYear, 2001]
-
A.
previousWorkReleaseYear
chosen
Indicates the year in which an earlier or prior work in a sequence or related set was released.
-
B.
lastPublicationYear
Indicates the year in which an entity’s most recent publication was released.
-
C.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
D.
laterCollectionPublicationYear
Indicates that the referenced collection was published in a year later than the year associated with the compared collection or work.
-
E.
thirdPartPublicationYear
Indicates the year in which the third part of a multi-part work was 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada575bbac81909b1b95126f488809 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9df840088190a26a1516f4c1f056 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.