Triple
T11583012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randall Park |
E274675
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Jimmy Woo |
E327545
|
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: Jimmy Woo | Statement: [Randall Park, playedCharacter, Jimmy Woo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Woo Context triple: [Randall Park, playedCharacter, Jimmy Woo]
-
A.
Jimmy Woo
chosen
Jimmy Woo is a Marvel Comics and Marvel Cinematic Universe character, depicted as an earnest and by-the-book FBI agent who often becomes entangled in superhero-related investigations.
-
B.
Marcus Wong
Marcus Wong is a Canadian municipal politician who serves as the mayor of West Vancouver, British Columbia.
-
C.
Mr. Wong
Mr. Wong is the enigmatic criminal mastermind and primary antagonist in the 1934 mystery film "The Mysterious Mr. Wong."
-
D.
Winston Chao
Winston Chao is a Taiwanese actor best known internationally for his leading role in Ang Lee’s film "The Wedding Banquet" and for portraying historical figure Sun Yat-sen in multiple Chinese-language productions.
-
E.
Ling Woo
Ling Woo is a sharp-tongued, unapologetically confident attorney on the television series "Ally McBeal," known for her icy demeanor, wit, and complex relationship dynamics.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904db5748190ae5f10ae86ccdf46 |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e7142d442c8190a48372e0e17db517 |
completed | April 21, 2026, 6:07 a.m. |
Created at: April 8, 2026, 9:38 p.m.