Triple
T22716388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Guy Thing |
E561742
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Diana Scarwid |
—
|
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: Diana Scarwid | Statement: [A Guy Thing, castMember, Diana Scarwid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Scarwid Context triple: [A Guy Thing, castMember, Diana Scarwid]
-
A.
Diana Scarwid
chosen
Diana Scarwid is an American actress known for her roles in films such as "Mommie Dearest" and "Inside Moves," for which she received an Academy Award nomination.
-
B.
Diana Matheson
Diana Matheson is a retired Canadian midfielder best known for scoring the bronze medal–winning goal at the 2012 London Olympics and being a longtime standout for the Canada women’s national soccer team.
-
C.
Maria Likarz
Maria Likarz was an Austrian designer and artist known for her influential work in textiles, fashion, and graphic design in early 20th-century Vienna.
-
D.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
E.
Diana Watts
Diana Watts is the troubled high-school teacher protagonist of the 2013 drama film "A Teacher," whose inappropriate relationship with a student drives the film’s psychological and moral tension.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790e14c88190af6acb27910ae9c1 |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:19 p.m.