Triple
T1287945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gold Rush |
E27477
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Black Larsen
Black Larsen is a villainous outlaw character in Charlie Chaplin’s silent film "The Gold Rush."
|
E147988
|
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: Black Larsen | Statement: [The Gold Rush, featuresCharacter, Black Larsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Larsen Context triple: [The Gold Rush, featuresCharacter, Black Larsen]
-
A.
Elias Kane
Elias Kane was an early 19th-century American politician and lawyer who served as Illinois’ first secretary of state and later as a U.S. senator.
-
B.
Henry Tucker
Henry Tucker was a Bermudian politician who became the territory's first premier and played a key role in modernizing its political and economic landscape.
-
C.
Allan Melvill
Allan Melvill was an American merchant and importer best known as the father of novelist Herman Melville.
-
D.
James Crabe
James Crabe was an American cinematographer best known for his work on influential films of the 1970s and 1980s, including the original Rocky.
-
E.
Count Zaroff
Count Zaroff is the sophisticated yet sadistic Russian aristocrat and big-game hunter who notoriously stalks human prey on his isolated island in the 1932 film "The Most Dangerous Game."
- 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: Black Larsen Triple: [The Gold Rush, featuresCharacter, Black Larsen]
Generated description
Black Larsen is a villainous outlaw character in Charlie Chaplin’s silent film "The Gold Rush."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Black Larsen Target entity description: Black Larsen is a villainous outlaw character in Charlie Chaplin’s silent film "The Gold Rush."
-
A.
Elias Kane
Elias Kane was an early 19th-century American politician and lawyer who served as Illinois’ first secretary of state and later as a U.S. senator.
-
B.
Henry Tucker
Henry Tucker was a Bermudian politician who became the territory's first premier and played a key role in modernizing its political and economic landscape.
-
C.
Allan Melvill
Allan Melvill was an American merchant and importer best known as the father of novelist Herman Melville.
-
D.
James Crabe
James Crabe was an American cinematographer best known for his work on influential films of the 1970s and 1980s, including the original Rocky.
-
E.
Count Zaroff
Count Zaroff is the sophisticated yet sadistic Russian aristocrat and big-game hunter who notoriously stalks human prey on his isolated island in the 1932 film "The Most Dangerous Game."
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d38d7c81908941edda9cac5d6a |
completed | March 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacba08f881909230c2d9459d4bc4 |
completed | March 7, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69acad2bc82c81909ec4c314e4fe7cc7 |
completed | March 7, 2026, 10:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acae0dc4708190bc3a9918391e6739 |
completed | March 7, 2026, 11 p.m. |
Created at: March 1, 2026, 7:51 p.m.