Triple
T20361043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Heart Huckabees |
E496780
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jeff Baena |
—
|
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: Jeff Baena | Statement: [I Heart Huckabees, screenwriter, Jeff Baena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Baena Context triple: [I Heart Huckabees, screenwriter, Jeff Baena]
-
A.
Jeff Baena
chosen
Jeff Baena is an American filmmaker and screenwriter known for his offbeat, character-driven independent films such as "Life After Beth," "Joshy," and "The Little Hours."
-
B.
Joseph Baena
Joseph Baena is an American fitness model, actor, and real estate agent who is widely known as the son of Arnold Schwarzenegger.
-
C.
Walter Baez
Walter Baez is a member of the Baez family, known primarily as the brother of physicist Albert Baez and uncle of singer Joan Baez.
-
D.
Mike Ybarra
Mike Ybarra is a video game executive best known for his leadership roles at major gaming companies, including serving as president of Blizzard Entertainment after a long tenure at Microsoft Xbox.
-
E.
Brian Pimental
Brian Pimental is an American animator, storyboard artist, and director known for his work on several major Disney animated films, including contributing to the story of Beauty and the Beast.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786de5988190827584358c9db147 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:25 a.m.