Triple
T1781909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice League |
E39308
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jon Berg
Jon Berg is a film producer and studio executive known for his work on major Hollywood blockbusters, including several DC Extended Universe films.
|
E207645
|
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: Jon Berg | Statement: [Justice League, producer, Jon Berg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Berg Context triple: [Justice League, producer, Jon Berg]
-
A.
David Frankel
David Frankel is an American film and television director best known for helming popular works such as "The Devil Wears Prada" and episodes of "Sex and the City."
-
B.
Dan Scanlon
Dan Scanlon is an American filmmaker and animator best known for his work as a director and writer at Pixar Animation Studios.
-
C.
Evan Goldberg
Evan Goldberg is a technology entrepreneur best known for founding the cloud-based business software company NetSuite.
-
D.
Dan Goor
Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
-
E.
Gregory Mottola
Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
- 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: Jon Berg Triple: [Justice League, producer, Jon Berg]
Generated description
Jon Berg is a film producer and studio executive known for his work on major Hollywood blockbusters, including several DC Extended Universe films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jon Berg Target entity description: Jon Berg is a film producer and studio executive known for his work on major Hollywood blockbusters, including several DC Extended Universe films.
-
A.
David Frankel
David Frankel is an American film and television director best known for helming popular works such as "The Devil Wears Prada" and episodes of "Sex and the City."
-
B.
Dan Scanlon
Dan Scanlon is an American filmmaker and animator best known for his work as a director and writer at Pixar Animation Studios.
-
C.
Evan Goldberg
Evan Goldberg is a technology entrepreneur best known for founding the cloud-based business software company NetSuite.
-
D.
Dan Goor
Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
-
E.
Gregory Mottola
Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64e34fe881908aa75f2b4141b87b |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1b8e26c8190af6e45265e2b182f |
completed | March 8, 2026, 7:44 p.m. |
| NEDg | Description generation | batch_69add29b34048190bee7908ac6c650e4 |
completed | March 8, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add35731588190a13c969490ca2c09 |
completed | March 8, 2026, 7:51 p.m. |
Created at: March 4, 2026, 7:31 p.m.