Triple
T1180925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home for the Holidays |
E25134
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Peggy Rajski |
E213609
|
NE FINISHED |
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: Peggy Rajski | Statement: [Home for the Holidays, producer, Peggy Rajski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peggy Rajski Context triple: [Home for the Holidays, producer, Peggy Rajski]
-
A.
Peggy Rajski
chosen
Peggy Rajski is an American film producer and director best known for producing the Oscar-winning short film "Trevor" and co-founding The Trevor Project, a leading LGBTQ youth crisis intervention organization.
-
B.
Joanne Rogers
Joanne Rogers was an American concert pianist and television personality best known as the longtime wife and collaborator of children's television icon Fred Rogers and as a prominent advocate for his legacy.
-
C.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
D.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
E.
Virginia Katz
Virginia Katz is a film editor known for her work on major Hollywood productions, including entries in the Twilight Saga.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd32c5f48190b4e2d39fa052cbb7 |
completed | March 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3a85f8481908d93f60b0ae82901 |
completed | March 8, 2026, 10:09 p.m. |
Created at: March 1, 2026, 7:45 p.m.