Triple
T16105918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chan Is Missing |
E390737
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Peter Wang
Peter Wang was a Taiwanese-American actor and filmmaker best known for his role in the influential Asian American independent film "Chan Is Missing."
|
E1195142
|
NE FINISHED |
How this triple was built (4 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: Peter Wang | Statement: [Chan Is Missing, castMember, Peter Wang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Wang Context triple: [Chan Is Missing, castMember, Peter Wang]
-
A.
Jonathan Wang
Jonathan Wang is a film producer best known for his work on the acclaimed, genre-bending movie "Everything Everywhere All at Once."
-
B.
William Wang
William Wang is a Taiwanese-American entrepreneur best known as the founder and longtime CEO of the consumer electronics company Vizio.
-
C.
Edward Wang
Edward Wang is an entrepreneur best known as a founder of the virtualization and cloud computing company VMware.
-
D.
Ping Wang
Ping Wang is the temple name of King Ping of Zhou, the Zhou dynasty ruler traditionally credited with moving the capital east and marking the start of the Eastern Zhou period in ancient China.
-
E.
Ben Wang
Ben Wang is an actor best known for playing the lead role of Jin Wang in the television adaptation of "American Born Chinese."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peter Wang Triple: [Chan Is Missing, castMember, Peter Wang]
Generated description
Peter Wang was a Taiwanese-American actor and filmmaker best known for his role in the influential Asian American independent film "Chan Is Missing."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Wang Target entity description: Peter Wang was a Taiwanese-American actor and filmmaker best known for his role in the influential Asian American independent film "Chan Is Missing."
-
A.
Jonathan Wang
Jonathan Wang is a film producer best known for his work on the acclaimed, genre-bending movie "Everything Everywhere All at Once."
-
B.
William Wang
William Wang is a Taiwanese-American entrepreneur best known as the founder and longtime CEO of the consumer electronics company Vizio.
-
C.
Edward Wang
Edward Wang is an entrepreneur best known as a founder of the virtualization and cloud computing company VMware.
-
D.
Ping Wang
Ping Wang is the temple name of King Ping of Zhou, the Zhou dynasty ruler traditionally credited with moving the capital east and marking the start of the Eastern Zhou period in ancient China.
-
E.
Ben Wang
Ben Wang is an actor best known for playing the lead role of Jin Wang in the television adaptation of "American Born Chinese."
- F. None of above. chosen
Provenance (5 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6d81d081909e1315f4dbfd7369 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba1e4c08190a90f5102e0038056 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffed3d57388190a4d0faa58ee2a27b |
completed | May 10, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffedfb88a881909e6adbb3a372246b |
completed | May 10, 2026, 2:31 a.m. |
Created at: April 10, 2026, 5 a.m.