Triple
T20808478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twin Beds |
E512231
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Mary Field |
—
|
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: Mary Field | Statement: [Twin Beds, hasCastMember, Mary Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Field Context triple: [Twin Beds, hasCastMember, Mary Field]
-
A.
Mary Field
chosen
Mary Field was an American character actress known for her numerous supporting roles in Hollywood films from the 1930s through the 1950s.
-
B.
Mary Field
Mary Field was the mother of British engineer and steam turbine pioneer Charles Algernon Parsons.
-
C.
Virginia Fields
Virginia Fields is known as the wife of legendary American football coach and broadcaster John Madden.
-
D.
May Field
May Field is an equestrian sports venue that hosted the equestrian events of the 1936 Summer Olympics in Berlin.
-
E.
Jamie Fields
Jamie Fields is a central teenage character in the 2016 coming-of-age film "20th Century Women," navigating identity, relationships, and adulthood in late-1970s California.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d0a2a081908fb0e3d890e87aaf |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.