Triple
T14171037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maverick Records |
E351206
|
entity |
| Predicate | signedArtist |
P16560
|
FINISHED |
| Object | Filter |
E596441
|
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: Filter | Statement: [Maverick Records, signedArtist, Filter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filter Context triple: [Maverick Records, signedArtist, Filter]
-
A.
Filter
chosen
Filter is an American industrial rock band formed by former Nine Inch Nails touring guitarist Richard Patrick, known for hits like "Hey Man Nice Shot" and "Take a Picture."
-
B.
Filter House
Filter House is a critically acclaimed short story collection by American speculative fiction author Shawl Nisi, noted for its inventive, genre-blending narratives.
-
C.
Filter Encoding
Filter Encoding is an Open Geospatial Consortium (OGC) standard XML-based language for expressing queries and filters on geospatial and attribute data in web services.
-
D.
Filtvet
Filtvet is a small village in the former municipality of Hurum in Viken county, Norway, known for its coastal location along the Oslofjord.
-
E.
Digital Filters
"Digital Filters" is a foundational work in signal processing that systematically presents the theory, design, and practical implementation of filters for processing discrete-time signals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b5dcbc8190b0cfcce5e6c6d582 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf808e6088190a607903be0f2adc7 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1:01 a.m.