Triple
T5916884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Ironside |
E131601
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | The Machinist |
E264223
|
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: The Machinist | Statement: [Michael Ironside, appearedIn, The Machinist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Machinist Context triple: [Michael Ironside, appearedIn, The Machinist]
-
A.
The Machinist
chosen
The Machinist is a 2004 psychological thriller film known for Christian Bale’s extreme physical transformation to play an insomniac factory worker descending into paranoia and guilt.
-
B.
Requiem for a Dream
Requiem for a Dream is a psychological drama film directed by Darren Aronofsky that portrays the devastating impact of addiction on four interconnected characters.
-
C.
Blow
Blow is a 2001 crime drama film that chronicles the rise and fall of American cocaine smuggler George Jung within the 1970s–1980s drug trade.
-
D.
Logorama
Logorama is a 2009 French animated short film that satirically depicts a world made entirely of corporate logos and mascots.
-
E.
Overlook
Overlook is a residential neighborhood in North Portland, Oregon, known for its bluff-top views over the Willamette River and easy access to downtown.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037bcea9c8190a34dc03857e3b80b |
completed | March 22, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c02c24cc8190a98d24f7445f59b7 |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 3:59 p.m.