Triple
T7499562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snakes on a Plane |
E177222
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Lin Shaye |
E377409
|
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: Lin Shaye | Statement: [Snakes on a Plane, stars, Lin Shaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lin Shaye Context triple: [Snakes on a Plane, stars, Lin Shaye]
-
A.
Lin Shaye
chosen
Lin Shaye is an American character actress best known for her prolific work in horror films, particularly the "Insidious" franchise, as well as numerous comedic roles.
-
B.
Bob Gunton
Bob Gunton is an American character actor best known for his portrayal of the strict prison warden Samuel Norton in the film "The Shawshank Redemption."
-
C.
John Hannah
John Hannah is a Scottish actor best known for his roles in films such as "Four Weddings and a Funeral" and "The Mummy" series, as well as numerous British television dramas.
-
D.
Michael Cerveris
Michael Cerveris is a Tony Award–winning American actor and singer known for his work on Broadway and in film and television.
-
E.
Jonathan Hyde
Jonathan Hyde is an English-Australian actor known for his roles in films like "Titanic," "Jumanji," and "The Mummy," as well as extensive work in television, theatre, and voice acting.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f598dfac8190a123daaac0784aee |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c900ad081908506a2097f7fd30b |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:44 p.m.