Triple
T12419094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiro Yamamoto |
E296717
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Skin Yard |
E568063
|
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: Skin Yard | Statement: [Hiro Yamamoto, associatedAct, Skin Yard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skin Yard Context triple: [Hiro Yamamoto, associatedAct, Skin Yard]
-
A.
Skin Yard
chosen
Skin Yard was an influential Seattle-based grunge band active in the 1980s, known for helping shape the early sound of the genre.
-
B.
Dermide
Dermide was the short-lived son of French general Charles Leclerc and Pauline Bonaparte, making him a nephew of Napoleon Bonaparte.
-
C.
Acres of Skin
Acres of Skin is a nonfiction book by Allen M. Hornblum that exposes unethical medical experiments conducted on inmates at Philadelphia’s Holmesburg Prison in the mid-20th century.
-
D.
Mysskin
Mysskin is an acclaimed Indian filmmaker and screenwriter known for his distinctive visual style and offbeat, genre-bending Tamil films.
-
E.
Pellice
The Pellice is a river in northwestern Italy that flows through the Piedmont region and contributes to the local hydrology of the Metropolitan City of Turin.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6efd748190a5d9396a343e41e1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634933b9881909fd592ede7c3e49c |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.