Triple
T20331181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trudy Campbell |
E492484
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Matthew Weiner |
—
|
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: Matthew Weiner | Statement: [Trudy Campbell, creator, Matthew Weiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Weiner Context triple: [Trudy Campbell, creator, Matthew Weiner]
-
A.
Matthew Weiner
chosen
Matthew Weiner is an American television writer, director, and producer best known for creating the critically acclaimed series "Mad Men."
-
B.
Matthew Wiener
Matthew Wiener is a statistician and software developer known for his contributions to the R community, including work on the randomForest package for machine learning.
-
C.
Sam Levinson
Sam Levinson is an American filmmaker, screenwriter, and director best known for creating the HBO teen drama series "Euphoria."
-
D.
Jake Weiner
Jake Weiner is a film producer known for his work on major studio projects, including Disney’s live-action adaptation of Mulan (2020).
-
E.
John Slattery
John Slattery is an American actor and director best known for his role as Roger Sterling on the television series "Mad Men."
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e7baf481909282293d78597634 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:22 a.m.