Triple
T17916822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalie Teeger |
E447948
|
entity |
| Predicate | seriesCreator |
P5039
|
FINISHED |
| Object | Andy Breckman |
—
|
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: Andy Breckman | Statement: [Natalie Teeger, seriesCreator, Andy Breckman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Breckman Context triple: [Natalie Teeger, seriesCreator, Andy Breckman]
-
A.
Andy Breckman
chosen
Andy Breckman is an American television writer, producer, and comedian best known for creating the mystery-comedy series "Monk."
-
B.
Neil Bremer
Neil Bremer is the affable, politically inexperienced Los Angeles mayor portrayed by Ted Danson in the sitcom "Mr. Mayor."
-
C.
Eric Brenner
Eric Brenner is a film producer known for his work on independent movies, including the action drama "Mercury Plains."
-
D.
Jon Bauman
Jon Bauman is an American musician and television personality best known for his role as "Bowzer" in the retro rock-and-roll group Sha Na Na.
-
E.
Andrew Braunsberg
Andrew Braunsberg is a film producer best known for his work on the acclaimed 1979 satirical comedy-drama "Being There."
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3062bfc819083f7c0521bad4db8 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.