Triple
T10973666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Myers at Hillcrest Academy |
E259312
|
entity |
| Predicate | threatens |
P1358
|
FINISHED |
| Object | Molly Cartwell |
E259310
|
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: Molly Cartwell | Statement: [Michael Myers at Hillcrest Academy, threatens, Molly Cartwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molly Cartwell Context triple: [Michael Myers at Hillcrest Academy, threatens, Molly Cartwell]
-
A.
Molly Cartwell
chosen
Molly Cartwell is a fictional character best known as the love interest of John Tate in the Halloween horror film series.
-
B.
Molly Madden
Molly Madden is an entertainment industry professional best known as a founder of the talent management and production company 3 Arts Entertainment.
-
C.
Molly Park
Molly Park is a main character on the sitcom "Dr. Ken," portrayed as the smart, independent teenage daughter of the titular doctor.
-
D.
Molly Cahill
Molly Cahill is a young carnival performer and love interest in William Lindsay Gresham’s noir novel "Nightmare Alley," often portrayed as a symbol of innocence amid the story’s corruption and deceit.
-
E.
Molly Cochran
Molly Cochran is an American author best known for her fantasy and suspense novels, often blending historical elements with the supernatural.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719c16648190ab5a87abb1c61990 |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7a0b3dc819084fbda3227caf5b5 |
completed | April 18, 2026, 1 a.m. |
Created at: April 8, 2026, 9:24 p.m.