Triple
T22131225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10,000 Days |
E546907
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Vicarious |
—
|
NE NERFINISHED |
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: Vicarious | Statement: [10,000 Days, hasPart, Vicarious]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vicarious Context triple: [10,000 Days, hasPart, Vicarious]
-
A.
Vicarious
chosen
"Vicarious" is a song by the American rock band Tool, known for its complex structure, philosophical lyrics, and visually striking animated music video.
-
B.
Vice Versa
Vice Versa is an early British electronic music group that later evolved into the influential synth-pop band ABC.
-
C.
Vice Versa
"Vice Versa" is a 1988 body-swap comedy film in which a father and son magically exchange bodies, leading to humorous and heartfelt complications.
-
D.
Vicious
Vicious is a British sitcom starring Derek Jacobi and Ian McKellen as a long-term gay couple navigating their acerbic yet affectionate relationship in London.
-
E.
Vicious
Vicious is a novel that follows Ash Weston, a morally complex protagonist navigating a dark, superpowered world of revenge and ambition.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12985e3688190917884c6bd487810 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:32 p.m.