Triple
T12773975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women in Love |
E305319
|
entity |
| Predicate | containsNotableScene |
P47737
|
FINISHED |
| Object | Gerald Crich and Rupert Birkin wrestling scene |
—
|
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: Gerald Crich and Rupert Birkin wrestling scene | Statement: [Women in Love, containsNotableScene, Gerald Crich and Rupert Birkin wrestling scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsNotableScene Context triple: [Women in Love, containsNotableScene, Gerald Crich and Rupert Birkin wrestling scene]
-
A.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
B.
containsScene
chosen
Indicates that one entity (typically a media item or narrative work) includes or features a particular scene as part of its content.
-
C.
hasNotableSegment
Indicates that an entity includes or contains a specific segment, part, or portion that is considered notable or significant in some way.
-
D.
hasRegionalScene
Indicates that something possesses or is associated with a specific regional scene, such as a localized cultural, artistic, or social milieu.
-
E.
hasNotableScript
Indicates that an entity is associated with a script (such as a writing system or screenplay) that is considered notable or significant.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df5b68481908a5d40516b09be52 |
completed | April 10, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.