Triple
T6103252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funeral March of a Marionette |
E136055
|
entity |
| Predicate | yearOrchestrated |
P68149
|
FINISHED |
| Object | 1879 |
—
|
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: 1879 | Statement: [Funeral March of a Marionette, yearOrchestrated, 1879]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOrchestrated Context triple: [Funeral March of a Marionette, yearOrchestrated, 1879]
-
A.
year
Indicates the specific calendar year associated with an entity, event, or fact.
-
B.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
C.
yearOfExecution
Indicates the specific calendar year in which an execution (such as a legal, contractual, or procedural act) took place.
-
D.
yearDecided
Indicates the specific calendar year in which a decision, ruling, or resolution was formally made or finalized.
-
E.
yearType
Indicates the classification or category assigned to a specific year (e.g., academic, fiscal, calendar, leap).
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3dbc6c8190b9e3d81e6ca9eeb8 |
completed | March 22, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:13 p.m.