Triple
T22093312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orphan: First Kill |
E545961
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Victor Moyers |
—
|
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: Victor Moyers | Statement: [Orphan: First Kill, executiveProducer, Victor Moyers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victor Moyers Context triple: [Orphan: First Kill, executiveProducer, Victor Moyers]
-
A.
Victor Moyers
chosen
Victor Moyers is a film producer known for his work on the movie "Green Room."
-
B.
Sol Hurok
Sol Hurok was a renowned 20th-century impresario and arts promoter best known for bringing world-class musicians, dancers, and performing artists to American audiences.
-
C.
Morris Panych
Morris Panych is a Canadian playwright, director, and actor renowned for his darkly comic, inventive stage works and significant contributions to contemporary Canadian theatre.
-
D.
Carl Lerner
Carl Lerner was an American film editor best known for his work on influential films of the 1960s and 1970s, including the thriller "Klute."
-
E.
Don Hewitt
Don Hewitt was an American television news producer best known for pioneering modern TV newsmagazine journalism.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e6b1d881909bf0f4a52199354c |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.