Triple
T14413278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skiptrace |
E357383
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Bennie Chan
Bennie Chan is a determined Hong Kong detective portrayed by Jackie Chan in the action-comedy film "Skiptrace."
|
E1098980
|
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: Bennie Chan | Statement: [Skiptrace, character, Bennie Chan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bennie Chan Context triple: [Skiptrace, character, Bennie Chan]
-
A.
Ryan Chan
Ryan Chan is a film editor known for his work on the 2020 adaptation of "The Witches."
-
B.
Gerald Chan
Gerald Chan is a Hong Kong-born American billionaire investor and philanthropist known for major donations to Harvard University and leadership of the Morningside Group.
-
C.
Ronnie Chan
Ronnie Chan is a Hong Kong billionaire businessman and philanthropist best known as the chairman of Hang Lung Group and for his prominent role in property development and higher-education philanthropy.
-
D.
Michael Chan
Michael Chan is a common personal name shared by multiple individuals across fields such as politics, business, and entertainment.
-
E.
Benny Lau
Benny Lau is a technology entrepreneur best known as a founder of ATI Technologies, a pioneering company in the graphics processing industry.
- 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: Bennie Chan Triple: [Skiptrace, character, Bennie Chan]
Generated description
Bennie Chan is a determined Hong Kong detective portrayed by Jackie Chan in the action-comedy film "Skiptrace."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bennie Chan Target entity description: Bennie Chan is a determined Hong Kong detective portrayed by Jackie Chan in the action-comedy film "Skiptrace."
-
A.
Ryan Chan
Ryan Chan is a film editor known for his work on the 2020 adaptation of "The Witches."
-
B.
Gerald Chan
Gerald Chan is a Hong Kong-born American billionaire investor and philanthropist known for major donations to Harvard University and leadership of the Morningside Group.
-
C.
Ronnie Chan
Ronnie Chan is a Hong Kong billionaire businessman and philanthropist best known as the chairman of Hang Lung Group and for his prominent role in property development and higher-education philanthropy.
-
D.
Michael Chan
Michael Chan is a common personal name shared by multiple individuals across fields such as politics, business, and entertainment.
-
E.
Benny Lau
Benny Lau is a technology entrepreneur best known as a founder of ATI Technologies, a pioneering company in the graphics processing industry.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc79c088190b6fd2984515976d7 |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5e42d9288190ae966790ebab70ee |
completed | May 8, 2026, 3:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5ec4499c81909d812ccf9429b612 |
completed | May 8, 2026, 3:55 a.m. |
Created at: April 10, 2026, 1:17 a.m.