Triple
T22891961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skin Yard |
E568063
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Daniel House |
—
|
NE NERFINISHED |
How this triple was built (3 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: Daniel House | Statement: [Skin Yard, member, Daniel House]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel House Context triple: [Skin Yard, member, Daniel House]
-
A.
John Stonehouse
John Stonehouse was a British Labour politician and former cabinet minister best known for faking his own death in 1974 in an attempt to escape financial and legal troubles.
-
B.
Michael Corvin
Michael Corvin is a central protagonist in the Underworld film series, a human–Lycan hybrid whose unique bloodline becomes pivotal in the war between vampires and werewolves.
-
C.
John Paragon
John Paragon was an American actor, writer, and director best known for his work on "Pee-wee's Playhouse" and collaborations with Cassandra Peterson's Elvira character.
-
D.
Ian Worthington
Ian Worthington is a classical historian and scholar best known for his work on ancient Macedonia, particularly the life and times of Alexander the Great and Demosthenes.
-
E.
Samuel Lord
Samuel Lord was a 19th-century English-born American merchant best known for establishing the iconic New York department store Lord & Taylor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel House Target entity description: Daniel House is an American musician and bassist best known for his work with the Seattle grunge band Skin Yard and for his role in the early Pacific Northwest alternative rock scene.
-
A.
John Stonehouse
John Stonehouse was a British Labour politician and former cabinet minister best known for faking his own death in 1974 in an attempt to escape financial and legal troubles.
-
B.
Michael Corvin
Michael Corvin is a central protagonist in the Underworld film series, a human–Lycan hybrid whose unique bloodline becomes pivotal in the war between vampires and werewolves.
-
C.
John Paragon
John Paragon was an American actor, writer, and director best known for his work on "Pee-wee's Playhouse" and collaborations with Cassandra Peterson's Elvira character.
-
D.
Ian Worthington
Ian Worthington is a classical historian and scholar best known for his work on ancient Macedonia, particularly the life and times of Alexander the Great and Demosthenes.
-
E.
Samuel Lord
Samuel Lord was a 19th-century English-born American merchant best known for establishing the iconic New York department store Lord & Taylor.
- F. None of above. chosen
Provenance (2 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc66dbc81909b31c068d7f2c531 |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.