Triple
T7815916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Palicki |
E181006
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object |
Matt Miner
Matt Miner is a comic book writer known for his work on socially conscious and politically charged independent comics.
|
E694831
|
NE FINISHED |
How this triple was built (4 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: Matt Miner | Statement: [Eric Palicki, hasCollaboratedWith, Matt Miner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Miner Context triple: [Eric Palicki, hasCollaboratedWith, Matt Miner]
-
A.
Steven Miner
Steven Miner is an individual notable enough to be recognized as a namesake of the surname Miner, though specific widely known biographical details are not clearly established.
-
B.
Matthew Shafer
Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
-
C.
Matthew Shafer
Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
-
D.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
-
E.
Barry Detweiler
Barry Detweiler is a fictional character appearing in the Fedora universe, contributing to its narrative and thematic development.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matt Miner Triple: [Eric Palicki, hasCollaboratedWith, Matt Miner]
Generated description
Matt Miner is a comic book writer known for his work on socially conscious and politically charged independent comics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Miner Target entity description: Matt Miner is a comic book writer known for his work on socially conscious and politically charged independent comics.
-
A.
Steven Miner
Steven Miner is an individual notable enough to be recognized as a namesake of the surname Miner, though specific widely known biographical details are not clearly established.
-
B.
Matthew Shafer
Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
-
C.
Matthew Shafer
Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
-
D.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
-
E.
Barry Detweiler
Barry Detweiler is a fictional character appearing in the Fedora universe, contributing to its narrative and thematic development.
- F. None of above. chosen
Provenance (5 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96d1f088190a1d005ffb019afe9 |
completed | March 30, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb1488a2e48190924f44b46f925d87 |
completed | March 31, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_69cb1732bb608190aa776f23f0dc6189 |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a62569c81908709d814954f667e |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:39 p.m.