Triple
T36062877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Muller |
E1043134
|
entity |
| Predicate | hasPortrayalEra |
P116916
|
FINISHED |
| Object | early 20th century cinema |
—
|
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: early 20th century cinema | Statement: [Dr. Muller, hasPortrayalEra, early 20th century cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPortrayalEra Context triple: [Dr. Muller, hasPortrayalEra, early 20th century cinema]
-
A.
depictedPersonEra
chosen
Indicates the historical era or time period associated with the person depicted in an image or representation.
-
B.
livedInEra
Indicates that an entity existed or was active during a particular historical era or time period.
-
C.
associatedProductionEra
Indicates a relationship where something is linked to the specific time period or era during which it was produced or created.
-
D.
representedEra
Indicates the historical era or time period that something symbolizes, exemplifies, or stands for.
-
E.
hasPublicationEra
Indicates the time period or era during which a publication was released or made publicly available.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff795d25d08190b7584c72be39d309 |
completed | May 9, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69ff78a90fbc8190a62c57456dc1d4ad |
completed | May 9, 2026, 6:10 p.m. |
Created at: May 3, 2026, 4:08 p.m.