Triple
T19872307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Number One with a Bullet |
E477547
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Al Leong
Al Leong is an American stuntman and character actor best known for playing memorable henchmen and villains in numerous 1980s and 1990s action films.
|
E1399754
|
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: Al Leong | Statement: [Number One with a Bullet, hasCastMember, Al Leong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Leong Context triple: [Number One with a Bullet, hasCastMember, Al Leong]
-
A.
Alvin Leong
Alvin Leong is a music producer known for his work on the song "Shall We Talk."
-
B.
Alan Leong
Alan Leong is a Hong Kong barrister and pro-democracy politician known for his leadership in the Civic Party and his candidacy in the 2007 Chief Executive election.
-
C.
Hau Lee
Hau Lee is a prominent operations and supply chain management scholar known for his influential research on global supply networks and his long-standing professorship at Stanford Graduate School of Business.
-
D.
Leonard Wu
Leonard Wu is an American actor known for his roles in film and television, including a notable appearance in the thriller "While She Was Out."
-
E.
David Luan
David Luan is an AI researcher and entrepreneur known for his work on large language models at OpenAI and as co-founder and CEO of Adept AI.
- 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: Al Leong Triple: [Number One with a Bullet, hasCastMember, Al Leong]
Generated description
Al Leong is an American stuntman and character actor best known for playing memorable henchmen and villains in numerous 1980s and 1990s action films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Leong Target entity description: Al Leong is an American stuntman and character actor best known for playing memorable henchmen and villains in numerous 1980s and 1990s action films.
-
A.
Alvin Leong
Alvin Leong is a music producer known for his work on the song "Shall We Talk."
-
B.
Alan Leong
Alan Leong is a Hong Kong barrister and pro-democracy politician known for his leadership in the Civic Party and his candidacy in the 2007 Chief Executive election.
-
C.
Hau Lee
Hau Lee is a prominent operations and supply chain management scholar known for his influential research on global supply networks and his long-standing professorship at Stanford Graduate School of Business.
-
D.
Leonard Wu
Leonard Wu is an American actor known for his roles in film and television, including a notable appearance in the thriller "While She Was Out."
-
E.
David Luan
David Luan is an AI researcher and entrepreneur known for his work on large language models at OpenAI and as co-founder and CEO of Adept AI.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d826f88190be04188997952d1b |
completed | April 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbc44f748190a65d88890960d90b |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dc854a0c8190b0da81ead6b9cfc1 |
completed | May 16, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07dd45e93c8190b14c23487398a8ec |
completed | May 16, 2026, 2:58 a.m. |
Created at: April 10, 2026, 1:51 p.m.