Triple
T20688324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Shih Chen |
E508480
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jamie Chen |
—
|
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: Jamie Chen | Statement: [Steven Shih Chen, spouse, Jamie Chen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie Chen Context triple: [Steven Shih Chen, spouse, Jamie Chen]
-
A.
Jamie Chen
chosen
Jamie Chen is known as the spouse of Steve Chen, the co-founder of YouTube.
-
B.
Jerry Chen
Jerry Chen is a prominent venture capitalist and general partner at Greylock Partners, known for investing in enterprise software and infrastructure startups.
-
C.
Luke Chia-Liu Yuan
Luke Chia-Liu Yuan was a Chinese-American physicist and engineer known for his work in nuclear physics and for being part of a prominent scientific family that included his wife, experimental physicist Chien-Shiung Wu.
-
D.
Roger Yuan
Roger Yuan is an American martial artist, fight choreographer, and actor known for his roles and stunt work in numerous action films.
-
E.
Jimmy Liu
Jimmy Liu is an actor best known for his role in the television adaptation of the graphic novel "American Born Chinese."
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10b7b808190bdb8b08e53168fb8 |
completed | April 21, 2026, 12:12 a.m. |
Created at: April 16, 2026, 11:45 a.m.