Triple
T20037329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ransom |
E497309
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Brawley Nolte |
—
|
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: Brawley Nolte | Statement: [Ransom, castMember, Brawley Nolte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brawley Nolte Context triple: [Ransom, castMember, Brawley Nolte]
-
A.
Brawley Nolte
chosen
Brawley Nolte is an American former child actor best known for his role in the 1996 thriller film "Ransom" alongside Mel Gibson.
-
B.
Lee Nolting
Lee Nolting is an American singer and entertainer best known for her performances as a member of the television musical troupe The Golddiggers.
-
C.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
D.
Knowle Rohrer
Knowle Rohrer is a recurring antagonist and shadowy government operative in the science-fiction television series "The X-Files."
-
E.
Don Ettlinger
Don Ettlinger was a screenwriter active in early 20th-century American cinema, known for adapting popular literary works for the screen.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e935ac8190900cdb4f0cfde505 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.