Triple
T12992055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dragon |
E321929
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Ted Tally |
E131382
|
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: Ted Tally | Statement: [Red Dragon, screenwriter, Ted Tally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Tally Context triple: [Red Dragon, screenwriter, Ted Tally]
-
A.
Ted Tally
chosen
Ted Tally is an American screenwriter and playwright best known for his Academy Award–winning adaptation of "The Silence of the Lambs."
-
B.
Dick Tufeld
Dick Tufeld was an American voice actor best known as the iconic voice of the Robot in the classic television series "Lost in Space."
-
C.
Tom Tully
Tom Tully was an American character actor known for his prolific work in mid-20th-century film and television, often portraying gruff but sympathetic authority figures.
-
D.
Nick Talman
Nick Talman is the ambitious young tech entrepreneur protagonist of the television series "StartUp," who becomes entangled in the criminal underworld while trying to build a revolutionary digital currency company.
-
E.
Charlie Wachtel
Charlie Wachtel is an American screenwriter best known for co-writing the Academy Award–winning film "BlacKkKlansman."
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7765788190a9503ef055bc30ca |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:43 p.m.