Triple
T20648372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leanne Wong |
E507419
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wong |
—
|
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: Wong | Statement: [Leanne Wong, familyName, Wong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wong Context triple: [Leanne Wong, familyName, Wong]
-
A.
Wong
Wong is a Marvel Comics character best known as Doctor Strange’s loyal friend, valet, and powerful mystical ally.
-
B.
Wong
chosen
Wong is a common Chinese surname shared by many people of Chinese descent worldwide.
-
C.
Wong-Chu
Wong-Chu is a Marvel Comics supervillain best known as the warlord whose actions lead to Tony Stark becoming Iron Man.
-
D.
Mr. Wong
Mr. Wong is the enigmatic criminal mastermind and primary antagonist in the 1934 mystery film "The Mysterious Mr. Wong."
-
E.
Juke Wong
Juke Wong is a music producer known for his work on the track "Slide Around."
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1fbfa881908a5b9db143e362d0 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.