Triple
T22001944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darcy Rhone |
E543347
|
entity |
| Predicate | hasFiancé |
P17846
|
FINISHED |
| Object | Dexter Thaler |
—
|
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: Dexter Thaler | Statement: [Darcy Rhone, hasFiancé, Dexter Thaler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dexter Thaler Context triple: [Darcy Rhone, hasFiancé, Dexter Thaler]
-
A.
Dexter Thaler
chosen
Dexter Thaler is a central romantic interest in the novel and film "Something Borrowed," known for his complicated relationship with protagonist Rachel White.
-
B.
Paul Thiel
Paul Thiel is an individual notable enough to be recognized as a namesake of the surname Thiel.
-
C.
Michael Winkelman
Michael Winkelman was an American child actor best known for playing Little Luke McCoy on the classic television sitcom "The Real McCoys."
-
D.
Stan Beeman
Stan Beeman is a troubled but dedicated FBI counterintelligence agent and neighbor to the Jennings family in the television series "The Americans."
-
E.
Nathan Juran
Nathan Juran was an Academy Award–winning art director and later film director known for his work on classic Hollywood productions and science fiction and fantasy films.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276bf2a48190910d9c27f1c5e74f |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.