Triple
T21405502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deck the Halls (film) |
E528021
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Cara Silverman |
—
|
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: Cara Silverman | Statement: [Deck the Halls (film), editedBy, Cara Silverman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cara Silverman Context triple: [Deck the Halls (film), editedBy, Cara Silverman]
-
A.
Cara Silverman
chosen
Cara Silverman was an American film editor known for her work on popular romantic comedies and dramas, including "He's Just Not That Into You."
-
B.
Lauren Silverman
Lauren Silverman is an American socialite best known for her long-term relationship with television personality and music executive Simon Cowell.
-
C.
Laura Silverman
Laura Silverman is an American actress and voice actress known for her work on shows like "Dr. Katz, Professional Therapist" and "The Sarah Silverman Program."
-
D.
Carly Chaikin
Carly Chaikin is an American actress best known for her role as Darlene in the critically acclaimed television series "Mr. Robot."
-
E.
Jody Silverman
Jody Silverman is a character portrayed by actor Zach McGowan.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1aea22881909a0cc754e417fbf3 |
completed | April 22, 2026, 11:31 a.m. |
Created at: April 16, 2026, 5:31 p.m.