Triple
T16586956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weezer (Red Album) |
E402982
|
entity |
| Predicate | featuresSharedLeadVocalsBy |
P25511
|
FINISHED |
| Object | Scott Shriner |
E400721
|
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: Scott Shriner | Statement: [Weezer (Red Album), featuresSharedLeadVocalsBy, Scott Shriner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Shriner Context triple: [Weezer (Red Album), featuresSharedLeadVocalsBy, Scott Shriner]
-
A.
Scott Shriner
chosen
Scott Shriner is an American musician best known as the longtime bassist for the rock band Weezer.
-
B.
Mike Shiner
Mike Shiner is a talented but egotistical Broadway method actor in the film "Birdman or (The Unexpected Virtue of Ignorance)."
-
C.
Shawn Eckhardt
Shawn Eckhardt was a key figure in the 1994 figure skating scandal involving the attack on Nancy Kerrigan, portrayed as a central character in the film "I, Tonya."
-
D.
Scott Bradner
Scott Bradner is an American Internet engineer and longtime IETF leader known for his influential role in Internet standards development and governance.
-
E.
Matt Sherring
Matt Sherring is a screenwriter best known for writing the action thriller film "Killer Elite."
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599daa508190a9ed6f64138c0e53 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a275910819086b49ce741045ecf |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:16 a.m.