Triple
T3931372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cloverfield Paradox |
E90800
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Donal Logue |
E349905
|
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: Donal Logue | Statement: [The Cloverfield Paradox, castMember, Donal Logue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donal Logue Context triple: [The Cloverfield Paradox, castMember, Donal Logue]
-
A.
Donal Logue
chosen
Donal Logue is a Canadian-American character actor known for his versatile roles in film and television, including prominent parts in projects like "Sons of Anarchy," "Gotham," and "Grounded for Life."
-
B.
Martin Duggan
Martin Duggan was a prominent 19th-century St. Louis journalist and editor known for his influential role in the city's early press.
-
C.
Douglas McGrath
Douglas McGrath was an American screenwriter, director, and actor known for his literary adaptations and collaborations with Woody Allen.
-
D.
Laird Doyle
Laird Doyle was an American screenwriter active in early Hollywood, known for adapting literary works for the screen.
-
E.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeda98058819094dd6ab223670860 |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5288408f0819090217513e7a21091 |
completed | March 14, 2026, 9:21 a.m. |
Created at: March 9, 2026, 3:23 p.m.