Triple
T10325551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Place of Many Mothers |
E242751
|
entity |
| Predicate | revealedStatusInFilm |
P38401
|
FINISHED |
| Object | destroyed and desolate |
—
|
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: destroyed and desolate | Statement: [Green Place of Many Mothers, revealedStatusInFilm, destroyed and desolate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revealedStatusInFilm Context triple: [Green Place of Many Mothers, revealedStatusInFilm, destroyed and desolate]
-
A.
statusInFirstFilm
Indicates the role, condition, or situation an entity has in its first film appearance.
-
B.
isRevealedIn
chosen
Indicates that something becomes known, disclosed, or made apparent within a particular context, medium, or situation.
-
C.
statusAtEndOfFilm
Indicates the condition or situation an entity is in when the film concludes.
-
D.
isRevealedTo
Indicates that previously hidden or unknown information becomes known to a specific entity or group.
-
E.
hasFilmVersionStatus
Indicates whether and how a work has been adapted into a film, specifying the status of that film version.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:51 a.m.