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.