Triple
T10252927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anastasia |
E240387
|
entity |
| Predicate | orchestrator |
P4735
|
FINISHED |
| Object | Doug Besterman |
E475602
|
NE FINISHED |
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: Doug Besterman | Statement: [Anastasia, orchestrator, Doug Besterman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Besterman Context triple: [Anastasia, orchestrator, Doug Besterman]
-
A.
Doug Besterman
chosen
Doug Besterman is a Tony Award–winning American orchestrator and arranger best known for his work on major Broadway musicals such as The Producers, Thoroughly Modern Millie, and Fosse.
-
B.
Andy Berman
Andy Berman is an American television writer, producer, and actor best known for his work on the comedy-drama series "Psych."
-
C.
Jim Veltman
Jim Veltman is a former Canadian professional lacrosse player renowned as one of the greatest leaders and transition players in National Lacrosse League history, particularly with the Toronto Rock.
-
D.
Andy Breckman
Andy Breckman is an American television writer, producer, and comedian best known for creating the mystery-comedy series "Monk."
-
E.
Greg Beeman
Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23f106c81909c1ce20a2ffa86ea |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7c6aca08190b15e3790cad12532 |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:29 a.m.