Triple
T9644623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilma Pang |
E233162
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Wilma Chan Pang |
E233162
|
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: Wilma Chan Pang | Statement: [Wilma Pang, knownAs, Wilma Chan Pang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilma Chan Pang Context triple: [Wilma Pang, knownAs, Wilma Chan Pang]
-
A.
Wong Chia-chi
Wong Chia-chi is the young Chinese student-turned-spy at the center of Ang Lee’s film and Eileen Chang’s novella "Lust, Caution," whose dangerous mission and conflicted emotions drive the story’s exploration of desire, betrayal, and political intrigue in wartime Shanghai.
-
B.
Wilma Pang
chosen
Wilma Pang is a San Francisco community activist and perennial local political candidate known for her involvement in city elections and advocacy on neighborhood issues.
-
C.
Nai Leng
Nai Leng is an actor known for his role in the film "Chang: A Drama of the Wilderness."
-
D.
Anita Chan
Anita Chan is a prominent scholar known for her influential research on Chinese labor issues and labor rights.
-
E.
Chin-chin Yap
Chin-chin Yap is a film producer best known for her work on Ai Weiwei’s documentary "Human Flow," which explores the global refugee crisis.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b7fd2308190803a196ecdc80d76 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18258489081909f0b328e223777fc |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:12 p.m.