Triple
T15904200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanche Tyler |
E385666
|
entity |
| Predicate | appearsInFilmReleasedInYear |
P18082
|
FINISHED |
| Object | 1976 |
—
|
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: 1976 | Statement: [Blanche Tyler, appearsInFilmReleasedInYear, 1976]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInFilmReleasedInYear Context triple: [Blanche Tyler, appearsInFilmReleasedInYear, 1976]
-
A.
yearOfFilmAppearance
chosen
Indicates the specific year in which a film appearance by an entity took place.
-
B.
theatricalReleaseIn
Indicates that a film or performance was released or shown theatrically in a specified location or market.
-
C.
filmReleasedOn
Indicates that a film was released on a specific date.
-
D.
endedInYear
Indicates that an event, state, or relationship concluded in the specified calendar year.
-
E.
theatricalReleaseWith
Indicates that two or more entities share the same theatrical release context, such as being released together or as part of the same theatrical event or distribution.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:52 a.m.