Triple
T8626148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Praise of Love |
E204284
|
entity |
| Predicate | partOneFormat |
P30244
|
FINISHED |
| Object | 35 mm black-and-white |
—
|
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: 35 mm black-and-white | Statement: [In Praise of Love, partOneFormat, 35 mm black-and-white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOneFormat Context triple: [In Praise of Love, partOneFormat, 35 mm black-and-white]
-
A.
firstPartFormat
chosen
Indicates that the subject entity is the initial segment or portion in the overall format or structured sequence of something.
-
B.
secondPartFormat
Indicates that the entity represents the format or structure of the second part or segment of a larger item or sequence.
-
C.
firstPartTitle
Indicates that one entity is the first part or initial segment of the title of another entity.
-
D.
formatPartOf
Indicates that one entity functions as a component or segment within the overall structure or composition of another entity.
-
E.
firstPartType
Indicates that one entity is the initial segment or component type within a larger composite or sequence of parts.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5730309081909a9a0256c9bf5f8f |
completed | March 31, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69cc455906f8819082edd79cb4a1cf28 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:26 p.m.