Triple
T12401330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saw VI |
E296258
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | William Easton |
E905371
|
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: William Easton | Statement: [Saw VI, featuresCharacter, William Easton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Easton Context triple: [Saw VI, featuresCharacter, William Easton]
-
A.
William Easton
chosen
William Easton is a fictional health insurance executive who becomes a central victim of Jigsaw’s moral tests in the Saw horror film franchise.
-
B.
William LeBaron
William LeBaron was an American film producer and studio executive active during the early 20th century, known for overseeing numerous Hollywood productions in the 1920s and 1930s.
-
C.
Samuel Ellis
Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
-
D.
Thomas Holbrook
Thomas Holbrook is a relatively obscure individual whose name is shared with several public figures, including politicians and academics, making precise identification dependent on additional context.
-
E.
William E. Scudder
William E. Scudder was an American missionary and educator known for his work in South India during the 19th century.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d46007c81908e0f4b590402bf58 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2189c1cc819080dc296b17e42374 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 8, 2026, 9:55 p.m.