Triple
T32815879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Roman Spring of Mrs. Stone (1961 film) |
E839287
|
entity |
| Predicate | hasAdaptationOfSameWork |
P182763
|
FINISHED |
| Object | The Roman Spring of Mrs. Stone (2003 film) |
—
|
NE NERFINISHED |
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: The Roman Spring of Mrs. Stone (2003 film) | Statement: [The Roman Spring of Mrs. Stone (1961 film), hasAdaptationOfSameWork, The Roman Spring of Mrs. Stone (2003 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdaptationOfSameWork Context triple: [The Roman Spring of Mrs. Stone (1961 film), hasAdaptationOfSameWork, The Roman Spring of Mrs. Stone (2003 film)]
-
A.
hasAdaptationOfSameNovel
chosen
Indicates that two works are adaptations derived from the same original novel.
-
B.
hasAdaptationsOfWorksIn
Indicates that an entity includes or contains adaptations of works that originate from another specified entity or context.
-
C.
adaptedWorkOfAuthor
Indicates that a work is an adaptation derived from, based on, or reinterpreting the original work of a specified author.
-
D.
adaptedHisOwnWork
Indicates that a creator adapted or transformed a work that he himself originally produced.
-
E.
hasAuthorOfSameWorkAs
Indicates that two authors are related by having written or contributed to the same work.
- 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_69f3493df9008190a8f5d843dcd77704 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 1, 2026, 1:15 a.m.