Triple
T7918079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bee Movie |
E183876
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Barry Marder |
E742745
|
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: Barry Marder | Statement: [Bee Movie, storyBy, Barry Marder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barry Marder Context triple: [Bee Movie, storyBy, Barry Marder]
-
A.
Barry Marder
chosen
Barry Marder is an American comedian and writer best known for his stand-up work, his "Letters from a Nut" books, and co-writing the animated film Bee Movie.
-
B.
Roger Birnbaum
Roger Birnbaum is an American film producer and studio executive known for co-founding Spyglass Entertainment and producing numerous mainstream Hollywood films.
-
C.
Barry Eisenberg
Barry Eisenberg is the father of former child actress Hallie Kate Eisenberg, known for her Pepsi commercials and film roles in the late 1990s and early 2000s.
-
D.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
-
E.
Barry Glick
Barry Glick is an entrepreneur and technologist best known as a co-founder of the online mapping and navigation company MapQuest.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a8fbbb48190b50def4941761a31 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea7b9d020819091342951d00661f9 |
completed | April 2, 2026, 5:30 p.m. |
Created at: March 30, 2026, 5:05 p.m.