Triple
T22884235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blocker |
E567559
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Dirk Blocker |
—
|
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: Dirk Blocker | Statement: [Blocker, notableBearer, Dirk Blocker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirk Blocker Context triple: [Blocker, notableBearer, Dirk Blocker]
-
A.
Dirk Blocker
chosen
Dirk Blocker is an American actor best known for his role as the lovable, dim-witted Detective Michael Hitchcock on the television sitcom "Brooklyn Nine-Nine."
-
B.
David Blocker
David Blocker is an American film producer known for his work on both independent and studio films, including the Emmy-winning TV movie "Don King: Only in America."
-
C.
Dirk Burton
Dirk Burton is the central protagonist of the science fiction novel "All of Us," around whom the story’s main events and character dynamics revolve.
-
D.
Harlon Block
Harlon Block was a United States Marine and one of the flag raisers at Iwo Jima during World War II, later depicted in the book and film "Flags of Our Fathers."
-
E.
Michael Dilbeck
Michael Dilbeck is a film producer best known for his work on the comedy movie "Meet Wally Sparks."
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fbfc5848190aa612ea51df5a9ec |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.