Triple
T21819835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halloween 5: The Revenge of Michael Myers |
E538695
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Sheila Raynor |
—
|
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: Sheila Raynor | Statement: [Halloween 5: The Revenge of Michael Myers, writer, Sheila Raynor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheila Raynor Context triple: [Halloween 5: The Revenge of Michael Myers, writer, Sheila Raynor]
-
A.
Sheila Raynor
chosen
Sheila Raynor was a British actress best known for her character roles in mid-20th-century film and television, including a memorable appearance in Stanley Kubrick’s "A Clockwork Orange."
-
B.
Eileen Shearer
Eileen Shearer is a political figure best known for founding the American Independent Party in the United States.
-
C.
Joan Murray
Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
-
D.
Doreen Shepherd
Doreen Shepherd is best known as the wife of acclaimed English actor Frank Finlay.
-
E.
Sheila Dunn
Sheila Dunn is an actress known for her role in the film "Inferno."
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cce0b8081909e20ded72db40304 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:54 p.m.