Triple
T19100652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragongirl |
E467520
|
entity |
| Predicate | hasCoverArtist |
P5936
|
FINISHED |
| Object | Steve Stone |
—
|
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: Steve Stone | Statement: [Dragongirl, hasCoverArtist, Steve Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Stone Context triple: [Dragongirl, hasCoverArtist, Steve Stone]
-
A.
Steve Stone
Steve Stone is a former Major League Baseball pitcher and longtime television color commentator best known for his work on Chicago Cubs and Chicago White Sox broadcasts.
-
B.
Steve Stone
Steve Stone is an American rock guitarist best known for his work with the Southern rock band Atlanta Rhythm Section.
-
C.
Steve Stone
chosen
Steve Stone is a professional illustrator and digital artist known for creating striking science fiction and fantasy book covers.
-
D.
Phil Stong
Phil Stong was an American novelist and journalist best known for his 1932 novel "State Fair," which inspired multiple film adaptations.
-
E.
Steve Keller
Steve Keller is a young, idealistic homicide detective in the TV series "The Streets of San Francisco," partnered with and mentored by veteran cop Lt. Mike Stone.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36d279081908aeb472cd740c302 |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.