Triple
T24848778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | September Song |
E621827
|
entity |
| Predicate | hasKeyInterpretation |
P158683
|
FINISHED |
| Object | reflection on lost youth |
—
|
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: reflection on lost youth | Statement: [September Song, hasKeyInterpretation, reflection on lost youth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyInterpretation Context triple: [September Song, hasKeyInterpretation, reflection on lost youth]
-
A.
hasKeyInterpretation
chosen
Indicates that something is associated with a primary or central interpretation that defines its main meaning or significance.
-
B.
hasExplicitInterpretation
Indicates that something is associated with a clearly defined and unambiguous meaning or interpretation.
-
C.
hasInterpretationStyle
Indicates a relationship where an entity is associated with a particular manner, method, or style in which it is interpreted or understood.
-
D.
hasInterpretiveElement
Indicates that something includes or is associated with an element involving interpretation, such as a subjective, analytical, or explanatory component.
-
E.
hasKeyPrediction
Indicates that one entity contains or provides a primary or most important predicted value or outcome for another 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_69e2fac297e481909d3aedc75f585e42 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 5:20 a.m.