Triple
T21419006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halloween 4: The Return of Michael Myers |
E528381
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Paul Freeman |
—
|
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: Paul Freeman | Statement: [Halloween 4: The Return of Michael Myers, producer, Paul Freeman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Freeman Context triple: [Halloween 4: The Return of Michael Myers, producer, Paul Freeman]
-
A.
Paul Freeman
Paul Freeman is a British actor best known for playing the villainous archaeologist René Belloq in the film "Raiders of the Lost Ark."
-
B.
Paul Freeman
chosen
Paul Freeman is a film producer best known for his work on the horror sequel "Halloween H20: 20 Years Later."
-
C.
Richard Marden
Richard Marden was a British film editor known for his work on notable mid-20th-century films, including adaptations of classic literature.
-
D.
Michael Eddington
Michael Eddington is a former Starfleet security officer who becomes a prominent Maquis leader and recurring adversary to Captain Sisko in Star Trek: Deep Space Nine.
-
E.
Colin Watkinson
Colin Watkinson is a British cinematographer best known for his visually striking work on films and television series such as The Fall and The Handmaid's Tale.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d392e08190b7f378005afc9026 |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:47 p.m.