Triple
T14708665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Book of Life |
E345490
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Aaron Berger
Aaron Berger is a film producer known for his work on the animated feature "The Book of Life."
|
E1270657
|
NE FINISHED |
How this triple was built (4 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: Aaron Berger | Statement: [The Book of Life, producer, Aaron Berger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Berger Context triple: [The Book of Life, producer, Aaron Berger]
-
A.
Matthew Berger
Matthew Berger is a central figure in the crime-comedy film "The Gentlemen," involved in the high-stakes world of British drug empires and underworld power struggles.
-
B.
Matthew Berger
Matthew Berger is a fictional character known for experiencing or being linked to the eye condition commonly referred to as dry eye.
-
C.
Glenn Berger
Glenn Berger is an American screenwriter best known for co-writing major animated films such as the Kung Fu Panda series.
-
D.
Andrew Barrer
Andrew Barrer is a screenwriter best known for co-writing the Marvel superhero film "Ant-Man and the Wasp."
-
E.
Hal Bidlack
Hal Bidlack is an American political science professor, retired U.S. Air Force officer, and public speaker known for his work in skepticism and secular humanism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aaron Berger Triple: [The Book of Life, producer, Aaron Berger]
Generated description
Aaron Berger is a film producer known for his work on the animated feature "The Book of Life."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aaron Berger Target entity description: Aaron Berger is a film producer known for his work on the animated feature "The Book of Life."
-
A.
Matthew Berger
Matthew Berger is a central figure in the crime-comedy film "The Gentlemen," involved in the high-stakes world of British drug empires and underworld power struggles.
-
B.
Matthew Berger
Matthew Berger is a fictional character known for experiencing or being linked to the eye condition commonly referred to as dry eye.
-
C.
Glenn Berger
Glenn Berger is an American screenwriter best known for co-writing major animated films such as the Kung Fu Panda series.
-
D.
Andrew Barrer
Andrew Barrer is a screenwriter best known for co-writing the Marvel superhero film "Ant-Man and the Wasp."
-
E.
Hal Bidlack
Hal Bidlack is an American political science professor, retired U.S. Air Force officer, and public speaker known for his work in skepticism and secular humanism.
- F. None of above. chosen
Provenance (5 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb609965081908f654bcb9eaaa145 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b809739081908bd44b383daa5f57 |
completed | May 11, 2026, 11:05 a.m. |
| NEDg | Description generation | batch_6a01b8a74f9881909eb1d5185f72dd0b |
completed | May 11, 2026, 11:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b91205048190a284c301e9cf051e |
completed | May 11, 2026, 11:10 a.m. |
Created at: April 10, 2026, 1:28 a.m.