Triple
T5558007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother Machree (1928 film) |
E145694
|
entity |
| Predicate | associatedWithStudioEra |
P23449
|
FINISHED |
| Object | late silent era |
—
|
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: late silent era | Statement: [Mother Machree (1928 film), associatedWithStudioEra, late silent era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithStudioEra Context triple: [Mother Machree (1928 film), associatedWithStudioEra, late silent era]
-
A.
associatedWithArtistEra
Indicates a relationship where an artist is linked to a particular artistic era or period with which their work or influence is identified.
-
B.
filmStudioEra
chosen
Indicates the historical period or era during which a particular film studio was active or most influential.
-
C.
hasStudio
Indicates that an entity (such as a film, game, or production) is associated with or produced by a particular studio.
-
D.
recordingEra
Indicates the historical time period or era during which the recording was made.
-
E.
associatedWithYearFilm
Indicates a relationship where something (such as an event, award, or record) is linked to or pertains to a specific film released or identified in a given year.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201529a88190bf0135e032b048ea |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.