Triple
T22451289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keller factory |
E554996
|
entity |
| Predicate | employs |
P7
|
FINISHED |
| Object | Steve Deever |
—
|
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 Deever | Statement: [Keller factory, employs, Steve Deever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Deever Context triple: [Keller factory, employs, Steve Deever]
-
A.
Steve Deever
chosen
Steve Deever is a character in Arthur Miller’s play "All My Sons," a former business partner scapegoated and imprisoned for a wartime manufacturing crime.
-
B.
Steven Dillingham
Steven Dillingham is an American government official who served as Director of the U.S. Census Bureau during the 2020 United States census.
-
C.
Kevin Weaver
Kevin Weaver is a prominent American music executive and producer known for overseeing high-profile film and television soundtracks.
-
D.
Phil Wenneck
Phil Wenneck is a charismatic, fast-talking schoolteacher and member of the "Wolfpack" whose misadventures drive much of the comedy in The Hangover film series.
-
E.
Gene Harrogate
Gene Harrogate is a comic, hapless young drifter in Cormac McCarthy’s novel "Suttree," known for his bizarre schemes and naive optimism amid the book’s grim setting.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ba6a88190a0a79e2c20fa8c08 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.