Triple
T14879787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monica Potter |
E349967
|
entity |
| Predicate | characterIn |
P12208
|
FINISHED |
| Object | Saw |
E286709
|
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: Saw | Statement: [Monica Potter, characterIn, Saw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saw Context triple: [Monica Potter, characterIn, Saw]
-
A.
Saw
chosen
Saw is a 2004 horror film that launched a popular franchise known for its psychological terror, elaborate death traps, and twist ending.
-
B.
Saw film series
The Saw film series is a long-running American horror franchise known for its elaborate death traps, moralistic games, and the iconic serial killer Jigsaw.
-
C.
Saw III
Saw III is a 2006 American horror film in the Saw franchise, known for its elaborate traps, graphic violence, and continuation of the Jigsaw killer’s storyline.
-
D.
Saw 3D
Saw 3D is a 2010 American horror film in the Saw franchise, marketed as the series’ first 3D installment and intended as a concluding chapter to the long-running torture-porn saga.
-
E.
Saw VI
Saw VI is a 2009 American horror film in the Saw franchise that continues the story of the Jigsaw Killer’s gruesome moral tests and traps.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72ac9f6481908f7b4f63a11fe16c |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 1:55 a.m.