Triple
T12943160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Doctor (A Streetcar Named Desire) |
E309687
|
entity |
| Predicate | sceneOfMajorAction |
P7326
|
FINISHED |
| Object | final scene of A Streetcar Named Desire |
—
|
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: final scene of A Streetcar Named Desire | Statement: [The Doctor (A Streetcar Named Desire), sceneOfMajorAction, final scene of A Streetcar Named Desire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sceneOfMajorAction Context triple: [The Doctor (A Streetcar Named Desire), sceneOfMajorAction, final scene of A Streetcar Named Desire]
-
A.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
B.
notableScene
chosen
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
C.
placeOfShooting
Indicates the location where a shooting event took place.
-
D.
centralScene
Indicates that one scene functions as the main or focal scene within a larger narrative, sequence, or composition.
-
E.
sceneLabel
Indicates the categorical label or type assigned to an entire scene based on its overall content or context.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.