Triple
T17491473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poem For My Little Lady (reprise) |
E425930
|
entity |
| Predicate | structureRelationToOriginal |
P99027
|
FINISHED |
| Object | shorter version |
—
|
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: shorter version | Statement: [Poem For My Little Lady (reprise), structureRelationToOriginal, shorter version]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structureRelationToOriginal Context triple: [Poem For My Little Lady (reprise), structureRelationToOriginal, shorter version]
-
A.
relationshipToOriginalStructure
chosen
Indicates the nature or degree of connection that something has to its initial or source structure.
-
B.
transformationRelation
Indicates a relationship where one entity is changed, converted, or transformed into another entity or state.
-
C.
stepRelation
Indicates a relationship where one entity is a step-relative of another, such as a stepparent, stepchild, or stepsibling connection.
-
D.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
E.
stageRelation
Indicates a relationship between entities based on their roles, positions, or phases within a staged process or sequence.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d5dd5c8190a8631e0d2ca1e427 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.