Triple
T28585071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Stanwyck as Lee Leander |
E723474
|
entity |
| Predicate | eraOfFilm |
P26306
|
FINISHED |
| Object | Classical Hollywood |
—
|
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: Classical Hollywood | Statement: [Barbara Stanwyck as Lee Leander, eraOfFilm, Classical Hollywood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfFilm Context triple: [Barbara Stanwyck as Lee Leander, eraOfFilm, Classical Hollywood]
-
A.
filmEra
chosen
Indicates the historical or stylistic period in which a film was produced or to which its cinematic style belongs.
-
B.
filmStudioEra
Indicates the historical period or era during which a particular film studio was active or most influential.
-
C.
yearInception
Indicates the year in which something (such as an entity, event, or organization) was first established, created, or began.
-
D.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
E.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 4:17 a.m.