Triple
T21463940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Naughton |
E529542
|
entity |
| Predicate | performedIn |
P795
|
FINISHED |
| Object | My Sister Sam |
—
|
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: My Sister Sam | Statement: [David Naughton, performedIn, My Sister Sam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Sister Sam Context triple: [David Naughton, performedIn, My Sister Sam]
-
A.
My Sister Sam
chosen
My Sister Sam is an American sitcom from the late 1980s starring Pam Dawber as a single photographer whose life is upended when her teenage sister moves in with her.
-
B.
Son of Sam
Son of Sam is the nickname given to American serial killer David Berkowitz, who terrorized New York City in the mid-1970s with a series of shootings.
-
C.
I Am Sam
I Am Sam is a 2001 drama film about a developmentally disabled father fighting for custody of his young daughter, featuring performances by Sean Penn, Michelle Pfeiffer, and Laura Dern.
-
D.
Smashed
Smashed is an independent film produced by Andrea Sperling, best known as a raw, character-driven drama about addiction and recovery.
-
E.
Smashed
Smashed is a memoir by Jonathan Schwartz that recounts his personal experiences and struggles, likely focusing on themes of addiction and recovery.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9f100fc819093999018f7d78443 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:09 p.m.