Triple
T5778534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mason Lee |
E127503
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mason Lee |
E127503
|
NE FINISHED |
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: Mason Lee | Statement: [Mason Lee, name, Mason Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mason Lee Context triple: [Mason Lee, name, Mason Lee]
-
A.
Mason Lee
chosen
Mason Lee is a Taiwanese-American actor known for roles in films such as "The Hangover Part II" and for being the son of acclaimed director Ang Lee.
-
B.
Jack Soo
Jack Soo was a Japanese-American actor and comedian best known for his role as Detective Nick Yemana on the television sitcom "Barney Miller."
-
C.
Jin Lee
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
-
D.
Hancock Lee
Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
-
E.
Micah Lee
Micah Lee is a technologist, journalist, and digital security expert known for his work on encryption tools and secure communication for journalists and whistleblowers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029e107348190a03086f1cbfae0d3 |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e735f408190b188b94131f1e51b |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:50 p.m.