Triple
T18902044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apprentice Adept |
E462359
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Sheen |
—
|
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: Sheen | Statement: [Apprentice Adept, mainCharacter, Sheen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheen Context triple: [Apprentice Adept, mainCharacter, Sheen]
-
A.
Sheen
Sheen is a historic area in southwest London, England, known for its royal connections and the former site of Sheen Palace.
-
B.
Sheen
chosen
Sheen is a central protagonist in Piers Anthony's "Apprentice Adept" science fantasy series, known for navigating the dual worlds of magic and technology.
-
C.
Sheen Estevez
Sheen Estevez is a hyperactive, dim-witted, and Ultralord-obsessed boy from the animated series "The Adventures of Jimmy Neutron: Boy Genius."
-
D.
Sam Sheen
Sam Sheen is the daughter of actors Denise Richards and Charlie Sheen, known publicly through her parents' high-profile careers and reality television appearances.
-
E.
John Shea
John Shea was a notable figure significant enough in his community or institution to have the athletic facility Shea Field named in his honor.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52a4b4c8190b5821996e3c1741d |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.