Triple
T22100388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rapture |
E546154
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Michael Tolkin |
—
|
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: Michael Tolkin | Statement: [The Rapture, writer, Michael Tolkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Tolkin Context triple: [The Rapture, writer, Michael Tolkin]
-
A.
Michael Tolkin
chosen
Michael Tolkin is an American screenwriter, director, and novelist best known for works such as "The Player" and his contributions to critically acclaimed film and television projects.
-
B.
Michael Sokolove
Michael Sokolove is an American journalist and nonfiction author known for his in-depth sports and cultural reporting and narrative books.
-
C.
Michael Bunin
Michael Bunin is an American actor best known for his role as Kenny Morittori on the TBS sitcom "My Boys."
-
D.
Ulu Grosbard
Ulu Grosbard was a Belgian-born American film and theater director known for his nuanced, character-driven dramas such as "Straight Time" and "Georgia."
-
E.
Michael Sobel
Michael Sobel is the son of Ben Sobel, a character from the comedy film series "Analyze This" and "Analyze That."
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291501508190ad5689be5abb2ba6 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.