Triple
T15067018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Hoitz |
E379780
|
entity |
| Predicate | filmDirector |
P255
|
FINISHED |
| Object | Adam McKay |
E264228
|
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: Adam McKay | Statement: [Terry Hoitz, filmDirector, Adam McKay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam McKay Context triple: [Terry Hoitz, filmDirector, Adam McKay]
-
A.
Adam McKay
chosen
Adam McKay is an American filmmaker and screenwriter known for his sharp political and social satires, including films like "The Big Short" and "Vice."
-
B.
David Wain
David Wain is an American comedian, writer, director, and actor best known for co-creating the sketch comedy group The State and directing cult films like Wet Hot American Summer.
-
C.
Jordan Vogt-Roberts
Jordan Vogt-Roberts is an American film director best known for helming the 2017 blockbuster monster movie "Kong: Skull Island."
-
D.
Paul King
Paul King is a British filmmaker and screenwriter best known for directing the critically acclaimed Paddington films.
-
E.
Paul King
Paul King is a screenwriter and storyteller known for contributing to the narrative of the classic submarine comedy film "Operation Petticoat."
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeea750c819082d8823c9ab6c5a2 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cb04e88190a42bb0e516df61bc |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:02 a.m.