Triple
T12333593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scream 3 |
E294023
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Ehren Kruger |
E285402
|
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: Ehren Kruger | Statement: [Scream 3, writer, Ehren Kruger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ehren Kruger Context triple: [Scream 3, writer, Ehren Kruger]
-
A.
Ehren Kruger
chosen
Ehren Kruger is an American screenwriter and film producer known for writing several entries in the Transformers franchise and other major Hollywood films.
-
B.
John Kruger
John Kruger is the tough, resourceful U.S. Marshal protagonist in the 1996 action film "Eraser," portrayed by Arnold Schwarzenegger.
-
C.
Erich Krueger
Erich Krueger is the wealthy, enigmatic, and increasingly menacing husband whose obsessive behavior drives the psychological suspense in Mary Higgins Clark’s novel "A Cry in the Night."
-
D.
Karl Krueger
Karl Krueger was an American conductor known for his work with major orchestras and for making early high-fidelity orchestral recordings.
-
E.
Michael Krueger
Michael Krueger is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Krueger.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa367348190b3991f256586a331 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.