Triple
T13797479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suddenly Susan |
E331553
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Steven Peterman |
E681757
|
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: Steven Peterman | Statement: [Suddenly Susan, creator, Steven Peterman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Peterman Context triple: [Suddenly Susan, creator, Steven Peterman]
-
A.
Steven Peterman
chosen
Steven Peterman is a television writer and producer best known for his work on popular American sitcoms, including serving as an executive producer on the Disney Channel series "Hannah Montana."
-
B.
Michael Petulla
Michael Petulla is a musician best known as a member of the English indie folk band Noah and the Whale.
-
C.
Michael Bauman
Michael Bauman is a cinematographer best known for his work on the film "Licorice Pizza."
-
D.
Chris Sievernich
Chris Sievernich is a German film producer best known for his work on acclaimed art-house and independent films, including Wim Wenders’ "Paris, Texas."
-
E.
Michael Kessler
Michael Kessler is a German actor and comedian known for his work in film, television, and sketch comedy.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b086d6d48190b823ed0a4403fbc5 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:11 p.m.