Triple
T37083689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Powell’s Julia Child cooking blog project |
E918224
|
entity |
| Predicate | sourceBookVolume |
P188843
|
FINISHED |
| Object | Volume 1 |
—
|
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: Volume 1 | Statement: [Julie Powell’s Julia Child cooking blog project, sourceBookVolume, Volume 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceBookVolume Context triple: [Julie Powell’s Julia Child cooking blog project, sourceBookVolume, Volume 1]
-
A.
seriesVolumeNumber
Indicates the specific volume number assigned to an item within an ordered series.
-
B.
appearsInBookNumber
Indicates that an entity is featured or mentioned in a specific book identified by its number within a series or collection.
-
C.
lightNovelVolumeNumber
Indicates the specific volume number assigned to a light novel within its series.
-
D.
isFirstVolumeOf
Indicates that one item is the initial volume in a multi-volume work or series.
-
E.
seventhVolume
Indicates that one entity is the seventh volume in a sequential series or collection associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbad1b3ba08190ad69e21461333f2e |
completed | May 6, 2026, 9:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.