Triple
T36567198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Images, Book I |
E902010
|
entity |
| Predicate | secondPiece |
P62306
|
FINISHED |
| Object | Hommage à Rameau |
—
|
NE NERFINISHED |
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: Hommage à Rameau | Statement: [Images, Book I, secondPiece, Hommage à Rameau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPiece Context triple: [Images, Book I, secondPiece, Hommage à Rameau]
-
A.
secondPieceType
Indicates that the relationship specifies the type or category of the second piece involved in a pair or composite structure.
-
B.
secondElement
chosen
Indicates that one entity is the second element in an ordered pair, sequence, or collection relative to another entity.
-
C.
secondEP
Indicates that an entity is the second episode (EP) in a sequence or series of episodes.
-
D.
secondEpisode
Indicates that one episode is the immediate successor (second in order) to a preceding episode within the same series or sequence.
-
E.
secondPartSeries
Indicates that one entity is the second installment or part in a series that includes the other entity.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff76ac40988190a34d858b5472ee2b |
completed | May 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69ff760a90948190a12fcb80e6e3e14b |
completed | May 9, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:11 p.m.