Triple
T16676978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garbage |
E405236
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Steve Marker |
E1216777
|
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: Steve Marker | Statement: [Garbage, member, Steve Marker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Marker Context triple: [Garbage, member, Steve Marker]
-
A.
Steve Marker
chosen
Steve Marker is an American musician and record producer best known as a founding member and guitarist of the alternative rock band Garbage.
-
B.
Richard Marks
Richard Marks was an American film editor known for his work on numerous acclaimed movies, including the culinary drama "Julie & Julia."
-
C.
Dave Marks
Dave Marks is a character on "The Jim Gaffigan Show," serving as one of Jim's close friends and a source of comic relief in his everyday misadventures.
-
D.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
E.
John Marks
John Marks is an American author and journalist known for his investigative and political writing, including collaborations with fellow reporter Joseph Medill Patterson Albright.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6c805c81909fbe4fcb20eedbe1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3c79888190b6ddd55b91d97183 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.