Triple
T21436417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rails & Ties |
E528823
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Zoe Perry |
—
|
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: Zoe Perry | Statement: [Rails & Ties, hasCastMember, Zoe Perry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoe Perry Context triple: [Rails & Ties, hasCastMember, Zoe Perry]
-
A.
Zoe Perry
chosen
Zoe Perry is an American actress best known for playing Mary Cooper, Sheldon's mother, on the television series "Young Sheldon."
-
B.
Judy Greer
Judy Greer is an American actress known for her versatile supporting roles in film and television, including appearances in major franchises like the Marvel Cinematic Universe.
-
C.
Molly Parker
Molly Parker is a Canadian actress known for her nuanced performances in film and television, including prominent roles in series such as House of Cards and Deadwood.
-
D.
Glenne Headly
Glenne Headly was an American actress known for her versatile film, television, and stage performances, including prominent roles in comedies and dramas from the 1980s onward.
-
E.
Michaela Watkins
Michaela Watkins is an American actress and comedian known for her work on "Saturday Night Live" and in numerous television comedies and 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b537f39081909220577618657805 |
completed | April 22, 2026, 11:47 a.m. |
Created at: April 16, 2026, 6:02 p.m.