Triple

T8607563
Position Surface form Disambiguated ID Type / Status
Subject The Fighting Marines E203838 entity
Predicate stars P1956 FINISHED
Object 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.
E762772 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 Darien | Statement: [The Fighting Marines, stars, Frank Darien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Darien
Context triple: [The Fighting Marines, stars, Frank Darien]
  • A. Melville Tucker
    Melville Tucker is a film producer best known for his work on the 1980 comedy movie "Stir Crazy."
  • B. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • C. John Fagan
    John Fagan is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Fagan.
  • D. Ralph Dawson
    Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
  • E. Frank Pearce
    Frank Pearce is a video game developer and co-founder of Blizzard Entertainment, known for helping build some of the most influential franchises in modern gaming.
  • 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 Darien
Triple: [The Fighting Marines, stars, Frank Darien]
Generated description
Frank Darien was an American character actor known for his prolific appearances in early 20th-century films, often playing supporting and comedic roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frank Darien
Target entity description: Frank Darien was an American character actor known for his prolific appearances in early 20th-century films, often playing supporting and comedic roles.
  • A. Melville Tucker
    Melville Tucker is a film producer best known for his work on the 1980 comedy movie "Stir Crazy."
  • B. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • C. John Fagan
    John Fagan is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Fagan.
  • D. Ralph Dawson
    Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
  • E. Frank Pearce
    Frank Pearce is a video game developer and co-founder of Blizzard Entertainment, known for helping build some of the most influential franchises in modern gaming.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46ec301881908ce148a3f07069fe completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa00aa93c819094884d5bbaa5a264 completed April 3, 2026, 11:10 a.m.
NEDg Description generation batch_69cfa14f0f3c8190bf7081e51410a491 completed April 3, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_69cfa28589708190b8fc32f4944d0a37 completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:25 p.m.