Triple
T17640243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turn to the Right |
E429203
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | George Siegmann |
—
|
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: George Siegmann | Statement: [Turn to the Right, starring, George Siegmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Siegmann Context triple: [Turn to the Right, starring, George Siegmann]
-
A.
George Siegmann
chosen
George Siegmann was an American silent film actor known for his powerful character roles, including a prominent part in D.W. Griffith’s landmark film "The Birth of a Nation."
-
B.
William Diehl
William Diehl was an American novelist best known for his gritty, suspenseful legal and crime thrillers.
-
C.
George Juergens
George Juergens is a central character on the teen drama series "The Secret Life of the American Teenager," known as the quirky, overprotective father navigating family turmoil and teenage pregnancy.
-
D.
William Steinkamp
William Steinkamp is an American film editor known for his long-time collaboration with director Sydney Pollack and his work on several acclaimed Hollywood films.
-
E.
Robert Sauer
Robert Sauer was a German mathematician known for his contributions to geometry and for his academic leadership in the mid-20th century.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de50bf481909e938613b38f0202 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 6:02 a.m.