Triple
T12318657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saw IV |
E293670
|
entity |
| Predicate | basedOnCharacterBy |
P15277
|
FINISHED |
| Object | James Wan |
E201560
|
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: James Wan | Statement: [Saw IV, basedOnCharacterBy, James Wan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Wan Context triple: [Saw IV, basedOnCharacterBy, James Wan]
-
A.
James Wan
chosen
James Wan is a Malaysian-Australian filmmaker best known for creating the Saw and The Conjuring horror franchises and directing major blockbuster films in the DC Extended Universe.
-
B.
Leigh Whannell
Leigh Whannell is an Australian screenwriter, director, actor, and producer best known for co-creating the Saw and Insidious horror film franchises.
-
C.
Mike Flanagan
Mike Flanagan is an American filmmaker and showrunner known for his acclaimed horror films and series, including "Doctor Sleep," "The Haunting of Hill House," and "Midnight Mass."
-
D.
Michael Gracey
Michael Gracey is an Australian filmmaker and visual effects artist best known for directing the hit musical film "The Greatest Showman."
-
E.
James Vanderbilt
James Vanderbilt is an American screenwriter and producer known for penning films such as "Zodiac," "The Amazing Spider-Man," and "White House Down."
- 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_69d93f4ab1b88190979a8403a430a17c |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671837a5c81908a7f41ac7e2bef59 |
completed | May 2, 2026, 9:49 p.m. |
Created at: April 8, 2026, 9:53 p.m.