Triple
T22282761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drift Fence |
E550776
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Tex Phelps |
—
|
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: Tex Phelps | Statement: [Drift Fence, hasCastMember, Tex Phelps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tex Phelps Context triple: [Drift Fence, hasCastMember, Tex Phelps]
-
A.
Tex Phelps
chosen
Tex Phelps was an American character actor known for his supporting roles in early Western films.
-
B.
Phil Dusenberry
Phil Dusenberry was an influential American advertising executive and creative director, best known for his groundbreaking work at BBDO and for shaping major campaigns for brands like Pepsi.
-
C.
Ted Daughety
Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
-
D.
Dennis Phillips
Dennis Phillips is a character from the television series "Soap," known primarily as a romantic partner of Jodie Dallas in the show's groundbreaking portrayal of LGBTQ+ relationships.
-
E.
Bill Boals
Bill Boals is the husband of American character actress Margo Martindale.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14eacd6cc8190812c6f672641050e |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.