Triple
T22913285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stu Macher |
E568658
|
entity |
| Predicate | accompliceOf |
P21638
|
FINISHED |
| Object | Billy Loomis |
—
|
NE NERFINISHED |
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: Billy Loomis | Statement: [Stu Macher, accompliceOf, Billy Loomis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billy Loomis Context triple: [Stu Macher, accompliceOf, Billy Loomis]
-
A.
Billy Loomis
chosen
Billy Loomis is the primary antagonist and original Ghostface killer in the 1996 horror film "Scream," known for orchestrating a series of murders in Woodsboro.
-
B.
Michael Scott Myers
Michael Scott Myers is an American screenwriter best known for adapting the memoir "The Whole Wide World" into the 1996 film of the same name.
-
C.
Michael Myers
Michael Myers is the iconic masked serial killer from the "Halloween" horror film franchise.
-
D.
Jason Voorhees
Jason Voorhees is a fictional, hockey mask–wearing serial killer and horror icon best known as the central antagonist of the Friday the 13th slasher film series.
-
E.
Silas Laurence Loomis
Silas Laurence Loomis was a 19th-century American physician, inventor, and educator known for his contributions to medical science and technological innovation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807668c481908494769bab9c8f1d |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.