Triple
T17908763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charmcaster |
E447767
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Kevin Levin |
—
|
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: Kevin Levin | Statement: [Charmcaster, enemy, Kevin Levin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Levin Context triple: [Charmcaster, enemy, Kevin Levin]
-
A.
Kevin Levin
chosen
Kevin Levin is a recurring antihero and sometimes villain in the Ben 10 franchise, known for his power-absorbing abilities and complex relationship with Ben Tennyson.
-
B.
Sy Levin
Sy Levin is a film producer best known for his work on the 1987 adaptation of "Flowers in the Attic."
-
C.
Scott Levenson
Scott Levenson is a film producer known for his work on independent movies such as the psychological horror drama "Jack Goes Home."
-
D.
Keith Levine
Keith Levine is a film producer known for his work on the psychological horror film "The Night House."
-
E.
Brian Levinson
Brian Levinson is an American former child actor best known for his role as Matilda’s classmate in the 1996 film adaptation of Roald Dahl’s "Matilda."
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9e4c9881908bfc3a83809d6b85 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.