Triple
T17069866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulan (2020 film) |
E414187
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jake Weiner
Jake Weiner is a film producer known for his work on major studio projects, including Disney’s live-action adaptation of Mulan (2020).
|
E1247419
|
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: Jake Weiner | Statement: [Mulan (2020 film), producer, Jake Weiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Weiner Context triple: [Mulan (2020 film), producer, Jake Weiner]
-
A.
Mark Weiner
Mark Weiner is a scholar and author known for his work on constitutional law, legal history, and the cultural foundations of legal systems.
-
B.
Matthew Weiner
Matthew Weiner is an American television writer, director, and producer best known for creating the critically acclaimed series "Mad Men."
-
C.
Jack Wiener
Jack Wiener is a film and television producer known for his work on various projects including the FX2 production.
-
D.
Jeff Weiner
Jeff Weiner is an American business executive best known for serving as the longtime CEO of LinkedIn, where he oversaw the company’s rapid growth and acquisition by Microsoft.
-
E.
Jon "Stugotz" Weiner
Jon "Stugotz" Weiner is an American sports radio personality and co-host of The Dan Le Batard Show, known for his comedic, self-deprecating style and exaggerated sports takes.
- 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: Jake Weiner Triple: [Mulan (2020 film), producer, Jake Weiner]
Generated description
Jake Weiner is a film producer known for his work on major studio projects, including Disney’s live-action adaptation of Mulan (2020).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jake Weiner Target entity description: Jake Weiner is a film producer known for his work on major studio projects, including Disney’s live-action adaptation of Mulan (2020).
-
A.
Mark Weiner
Mark Weiner is a scholar and author known for his work on constitutional law, legal history, and the cultural foundations of legal systems.
-
B.
Matthew Weiner
Matthew Weiner is an American television writer, director, and producer best known for creating the critically acclaimed series "Mad Men."
-
C.
Jack Wiener
Jack Wiener is a film and television producer known for his work on various projects including the FX2 production.
-
D.
Jeff Weiner
Jeff Weiner is an American business executive best known for serving as the longtime CEO of LinkedIn, where he oversaw the company’s rapid growth and acquisition by Microsoft.
-
E.
Jon "Stugotz" Weiner
Jon "Stugotz" Weiner is an American sports radio personality and co-host of The Dan Le Batard Show, known for his comedic, self-deprecating style and exaggerated sports takes.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbfb1f08190807301ff6e573cf5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01235278d48190bacc7881b9eb1ea1 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a012425fb808190ad9bcada9429e437 |
completed | May 11, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01248b53d88190a4ec4fa6cee89bb1 |
completed | May 11, 2026, 12:36 a.m. |
Created at: April 10, 2026, 5:34 a.m.