Triple
T23467992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Table 19 |
E569147
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Jeffrey Blitz |
—
|
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: Jeffrey Blitz | Statement: [Table 19, director, Jeffrey Blitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Blitz Context triple: [Table 19, director, Jeffrey Blitz]
-
A.
Jeffrey Blitz
chosen
Jeffrey Blitz is an American film and television director and producer known for his work on projects like the documentary "Spellbound," the comedy "Rocket Science," and episodes of "The Office."
-
B.
Marc Baschet
Marc Baschet is a French film producer known for his work on acclaimed international features, including the war drama "No Man's Land."
-
C.
Jesse Harlin
Jesse Harlin is a video game music composer known for his work on major titles including The Sims 4.
-
D.
Michael Seitzman
Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
-
E.
Joel Herzog
Joel Herzog is a member of the Herzog family, related to Sarah Herzog, and likely part of a notable Jewish-Israeli lineage.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fd280c81908aae05f0851466eb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.