Triple
T12860506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Newbern |
E307572
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Scandal |
E303436
|
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: Scandal | Statement: [George Newbern, appearedIn, Scandal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scandal Context triple: [George Newbern, appearedIn, Scandal]
-
A.
Scandal
chosen
Scandal is a political thriller television series created by Shonda Rhimes that follows crisis manager Olivia Pope as she navigates high-stakes scandals in Washington, D.C.
-
B.
Scandal
Scandal is a 1989 British drama film that dramatizes the real-life Profumo affair, a major 1960s political sex scandal in the United Kingdom.
-
C.
Scandal
Scandal is a 1950 Japanese drama film directed by Akira Kurosawa that critiques tabloid journalism and the invasion of privacy.
-
D.
Notes on a Scandal
Notes on a Scandal is a psychological drama film centered on the toxic relationship between a lonely, manipulative teacher and a younger colleague whose illicit affair she exploits.
-
E.
Scandal!
Scandal! is a popular South African television soap opera known for its dramatic storylines centered around the media industry and the personal lives of its characters.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708ba74881909b16c1e2ef5115db |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a54ee6c08190b59c610f6390366c |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:37 p.m.