Triple
T20472634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudderless |
E502229
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Eric Lin |
—
|
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: Eric Lin | Statement: [Rudderless, cinematographyBy, Eric Lin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Lin Context triple: [Rudderless, cinematographyBy, Eric Lin]
-
A.
Eric Lin
chosen
Eric Lin is a cinematographer known for his work on the drama film "I Smile Back" and other independent and feature film projects.
-
B.
Stephen Lin
Stephen Lin is a computer vision researcher known for his influential work in deep learning and visual recognition, including co-authoring the Swin Transformer architecture.
-
C.
Ian Chen
Ian Chen is a Taiwanese-American child actor best known for his roles in the TV series "Fresh Off the Boat" and the superhero film "Shazam!".
-
D.
Joe Chen
Joe Chen is an entrepreneur best known as a co-founder of the defense technology company Anduril Industries.
-
E.
Chris Yen
Chris Yen is a Hong Kong-born actress and martial artist known for her roles in action films and as the younger sister of action star Donnie Yen.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69962d810819091bb13fe73250e24 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.