Triple
T14173612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secret Window |
E351274
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Mort Rainey |
E1083541
|
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: Mort Rainey | Statement: [Secret Window, character, Mort Rainey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mort Rainey Context triple: [Secret Window, character, Mort Rainey]
-
A.
Mort Rainey
chosen
Mort Rainey is a troubled, reclusive writer whose unraveling sanity drives the psychological horror at the center of Stephen King’s novella and its film adaptation "Secret Window."
-
B.
Cliff Barker
Cliff Barker was an American professional basketball player best known for his time as a guard with the Indianapolis Olympians in the early years of the NBA.
-
C.
Johnny Castle
Johnny Castle is the charismatic dance instructor and romantic lead portrayed by Patrick Swayze in the 1987 film "Dirty Dancing."
-
D.
Don Harvey
Don Harvey is an American character actor known for his intense supporting roles in films such as the Vietnam War drama "Casualties of War."
-
E.
Marty South
Marty South is a quiet, self-sacrificing young woman in Thomas Hardy’s novel "The Woodlanders," known for her unrequited love and deep connection to the rural woodland setting.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b7cc3081909f4fa371e1eae130 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193f85e88190b37a37747ec9d019 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:01 a.m.