Triple
T13434722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paranoid Park |
E320199
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Gabe Nevins
Gabe Nevins is an American actor best known for his lead role in Gus Van Sant’s 2007 independent drama film "Paranoid Park."
|
E1041655
|
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: Gabe Nevins | Statement: [Paranoid Park, hasCastMember, Gabe Nevins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabe Nevins Context triple: [Paranoid Park, hasCastMember, Gabe Nevins]
-
A.
Gabe Dixon
Gabe Dixon is an American singer-songwriter and pianist best known as the frontman of the Gabe Dixon Band and for his soulful, piano-driven rock and pop music.
-
B.
Gabe Lewis
Gabe Lewis is a character from the U.S. version of "The Office," known as a socially awkward Sabre corporate liaison who dates Erin Hannon.
-
C.
Gabe Meyer
Gabe Meyer is the son of Stephenie Meyer, the bestselling author of the Twilight series.
-
D.
Garret Nagle
Garret Nagle is an Irish environmentalist and academic known for his work in geography and sustainable development.
-
E.
Gavin Lewis
Gavin Lewis is an American actor known for his roles in television series such as "Little Fires Everywhere" and other film and TV projects.
- 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: Gabe Nevins Triple: [Paranoid Park, hasCastMember, Gabe Nevins]
Generated description
Gabe Nevins is an American actor best known for his lead role in Gus Van Sant’s 2007 independent drama film "Paranoid Park."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabe Nevins Target entity description: Gabe Nevins is an American actor best known for his lead role in Gus Van Sant’s 2007 independent drama film "Paranoid Park."
-
A.
Gabe Dixon
Gabe Dixon is an American singer-songwriter and pianist best known as the frontman of the Gabe Dixon Band and for his soulful, piano-driven rock and pop music.
-
B.
Gabe Lewis
Gabe Lewis is a character from the U.S. version of "The Office," known as a socially awkward Sabre corporate liaison who dates Erin Hannon.
-
C.
Gabe Meyer
Gabe Meyer is the son of Stephenie Meyer, the bestselling author of the Twilight series.
-
D.
Garret Nagle
Garret Nagle is an Irish environmentalist and academic known for his work in geography and sustainable development.
-
E.
Gavin Lewis
Gavin Lewis is an American actor known for his roles in television series such as "Little Fires Everywhere" and other film and TV projects.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739902d148190ac14ac66f1f9512f |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73d6051e48190a39e8de98bfb839a |
completed | May 3, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7411fbb9481908f0106b01f2583bf |
completed | May 3, 2026, 12:35 p.m. |
Created at: April 9, 2026, 9:40 p.m.