Triple
T17175999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | attempts to destroy Elora Danan |
E416859
|
entity |
| Predicate | hasReleaseYearOfWork |
P30914
|
FINISHED |
| Object | 1988 |
—
|
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: 1988 | Statement: [attempts to destroy Elora Danan, hasReleaseYearOfWork, 1988]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReleaseYearOfWork Context triple: [attempts to destroy Elora Danan, hasReleaseYearOfWork, 1988]
-
A.
notableWorkPublicationDate
Indicates the date on which a notable work associated with an entity was first published.
-
B.
keyWorkReleaseYear
Indicates the year in which a key work (such as a major publication, artwork, or product) was first released.
-
C.
authorWorkPublicationYear
Indicates the year in which a specific work created by an author was published.
-
D.
workReleaseYear
chosen
Indicates the calendar year in which a work (such as a book, film, or album) was first released or made publicly available.
-
E.
inspiredWorkReleaseYear
Indicates the year in which a work that served as inspiration for another work was released.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0cec448190b30466628a2ff23f |
completed | April 18, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.