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.