Triple
T38672869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wide, Wide River |
E943647
|
entity |
| Predicate | featuresMusicalCollective |
P153171
|
FINISHED |
| Object | The Second Hand Orchestra |
E2280399
|
NE 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: The Second Hand Orchestra | Statement: [The Wide, Wide River, featuresMusicalCollective, The Second Hand Orchestra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMusicalCollective Context triple: [The Wide, Wide River, featuresMusicalCollective, The Second Hand Orchestra]
-
A.
featuresVariousArtists
Indicates that something (typically a creative work) includes contributions from multiple distinct artists rather than a single primary artist.
-
B.
featuresFictionalBand
Indicates that something (such as a work or event) includes or presents a fictional band as part of its content or narrative.
-
C.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
-
D.
featuresIndieMusicScene
Indicates that something includes, highlights, or is characterized by an independent (indie) music scene.
-
E.
featuresBackingEnsemble
chosen
Indicates that an entity includes or is accompanied by a backing ensemble supporting its primary performance or presentation.
- F. None of above.
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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a421bd8d16c81909a52cb820d780f6c |
completed | June 29, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:33 p.m.