Triple
T9797902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Saints in Three Acts |
E237761
|
entity |
| Predicate | librettoStyle |
P90027
|
FINISHED |
| Object | Gertrude Stein’s stream-of-consciousness writing |
—
|
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: Gertrude Stein’s stream-of-consciousness writing | Statement: [Four Saints in Three Acts, librettoStyle, Gertrude Stein’s stream-of-consciousness writing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: librettoStyle Context triple: [Four Saints in Three Acts, librettoStyle, Gertrude Stein’s stream-of-consciousness writing]
-
A.
librettoBy
Indicates that a work’s libretto (the text of an opera or similar vocal work) was written by a particular person.
-
B.
includesLibretto
Indicates that one entity (typically a musical or operatic work or publication) contains or is accompanied by the full text/libretto of another work.
-
C.
originalLanguageOfLibretto
Indicates the language in which a libretto was originally written for a given work.
-
D.
coAuthorOfLibrettoWith
Indicates that two or more individuals collaborated in writing the same libretto.
-
E.
hasScreenplayStyle
Indicates that an entity is associated with or characterized by a particular style or manner of screenplay writing.
- F. None of above. chosen
Provenance (4 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda6264160819080da4805b213753f |
completed | April 1, 2026, 11:11 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:28 p.m.