Triple
T22014629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Point Men |
E543675
|
entity |
| Predicate | authorOfSourceWork |
P2353
|
FINISHED |
| Object | Steven Hartov |
—
|
NE NERFINISHED |
How this triple was built (3 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: Steven Hartov | Statement: [The Point Men, authorOfSourceWork, Steven Hartov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Hartov Context triple: [The Point Men, authorOfSourceWork, Steven Hartov]
-
A.
Michael Gruskoff
Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
-
B.
George Kralovansky
George Kralovansky is a television producer best known for his executive production work on the live law-enforcement reality series "Live PD."
-
C.
Robert Drasnin
Robert Drasnin was an American composer and arranger best known for his work in film and television scores and his influential exotica recordings.
-
D.
George Mihalka
George Mihalka is a Canadian film and television director best known for his work in the horror genre, particularly the cult slasher film "My Bloody Valentine."
-
E.
Michael Novotny
Michael Novotny is a central character in the television series "Queer as Folk," portrayed as a kind-hearted comic book enthusiast whose long-standing friendship with Brian Kinney shapes much of the show's emotional core.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steven Hartov Target entity description: Steven Hartov is an American author and former Israeli Defense Forces paratrooper best known for his military and espionage thrillers.
-
A.
Michael Gruskoff
Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
-
B.
George Kralovansky
George Kralovansky is a television producer best known for his executive production work on the live law-enforcement reality series "Live PD."
-
C.
Robert Drasnin
Robert Drasnin was an American composer and arranger best known for his work in film and television scores and his influential exotica recordings.
-
D.
George Mihalka
George Mihalka is a Canadian film and television director best known for his work in the horror genre, particularly the cult slasher film "My Bloody Valentine."
-
E.
Michael Novotny
Michael Novotny is a central character in the television series "Queer as Folk," portrayed as a kind-hearted comic book enthusiast whose long-standing friendship with Brian Kinney shapes much of the show's emotional core.
- F. None of above. chosen
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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a6bf6081909865781ea7937a1b |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.