Triple
T18331944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club de la Serpiente |
E439163
|
entity |
| Predicate | hasMember |
P10
|
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: [Club de la Serpiente, hasMember, Wong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wong Context triple: [Club de la Serpiente, hasMember, Wong]
-
A.
Wong
Wong is a Marvel Comics character best known as Doctor Strange’s loyal friend, valet, and powerful mystical ally.
-
B.
Wong
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. chosen
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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecaf6f48190ae7547cc0f8e6efa |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:36 a.m.