Triple
T14359133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaolin vs. Wu-Tang |
E356049
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Frank G
Frank G is a film producer best known for his work on the classic 1983 Hong Kong martial arts movie "Shaolin vs. Wu-Tang."
|
E1094787
|
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: Frank G | Statement: [Shaolin vs. Wu-Tang, producer, Frank G]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank G Context triple: [Shaolin vs. Wu-Tang, producer, Frank G]
-
A.
Bob Frank
Bob Frank, better known by his superhero alias Whizzer, is a Golden Age Marvel Comics speedster who gained superhuman velocity and became one of the publisher’s earliest costumed heroes.
-
B.
Frank Fisk
Frank Fisk is an individual notable enough to be recognized as a bearer of the surname Fisk.
-
C.
Ed Furillo
Ed Furillo is a tough, cynical middle-aged man grappling with a midlife crisis in the comedy film "City Slickers," where he joins friends on a cattle drive to rediscover purpose and meaning.
-
D.
Frank Darien
Frank Darien was an American character actor known for his prolific appearances in early 20th-century films, often playing supporting and comedic roles.
-
E.
William Fagan
William Fagan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Fagan.
- 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: Frank G Triple: [Shaolin vs. Wu-Tang, producer, Frank G]
Generated description
Frank G is a film producer best known for his work on the classic 1983 Hong Kong martial arts movie "Shaolin vs. Wu-Tang."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frank G Target entity description: Frank G is a film producer best known for his work on the classic 1983 Hong Kong martial arts movie "Shaolin vs. Wu-Tang."
-
A.
Bob Frank
Bob Frank, better known by his superhero alias Whizzer, is a Golden Age Marvel Comics speedster who gained superhuman velocity and became one of the publisher’s earliest costumed heroes.
-
B.
Frank Fisk
Frank Fisk is an individual notable enough to be recognized as a bearer of the surname Fisk.
-
C.
Ed Furillo
Ed Furillo is a tough, cynical middle-aged man grappling with a midlife crisis in the comedy film "City Slickers," where he joins friends on a cattle drive to rediscover purpose and meaning.
-
D.
Frank Darien
Frank Darien was an American character actor known for his prolific appearances in early 20th-century films, often playing supporting and comedic roles.
-
E.
William Fagan
William Fagan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Fagan.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c48dd408190ac45ad4ca6f610c3 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4cf6e6788190a98479ed3b615a4e |
completed | May 8, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4d6dd7c481908f53f8902ee714dd |
completed | May 8, 2026, 2:41 a.m. |
Created at: April 10, 2026, 1:15 a.m.