Triple

T3474306
Position Surface form Disambiguated ID Type / Status
Subject Manhattan Melodrama E73333 entity
Predicate starring P1507 FINISHED
Object Nat Pendleton
Nat Pendleton was an American Olympic wrestler-turned-character actor best known for his comic tough-guy roles in 1930s and 1940s Hollywood films.
 E363411 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: Nat Pendleton | Statement: [Manhattan Melodrama, starring, Nat Pendleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nat Pendleton
Context triple: [Manhattan Melodrama, starring, Nat Pendleton]
  • A. Paul Bransom
    Paul Bransom was an American illustrator and wildlife artist best known for his detailed animal drawings in early 20th-century books and magazines.
  • B. Charles Roane
    Charles Roane is a music producer known for his work on the album "Back to Basics."
  • C. Wayne Hardin
    Wayne Hardin was a prominent American college football coach best known for his successful tenures leading the Navy Midshipmen and Temple Owls programs.
  • D. Pat Buttram
    Pat Buttram was an American character actor and comedian best known for his distinctive nasal voice and roles in Westerns and as Mr. Haney on the television series "Green Acres."
  • E. Ben E. Cabell
    Ben E. Cabell was an American politician who served as mayor of Dallas, Texas, in the early 20th century.
  • 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: Nat Pendleton
Triple: [Manhattan Melodrama, starring, Nat Pendleton]
Generated description
Nat Pendleton was an American Olympic wrestler-turned-character actor best known for his comic tough-guy roles in 1930s and 1940s Hollywood films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nat Pendleton
Target entity description: Nat Pendleton was an American Olympic wrestler-turned-character actor best known for his comic tough-guy roles in 1930s and 1940s Hollywood films.
  • A. Paul Bransom
    Paul Bransom was an American illustrator and wildlife artist best known for his detailed animal drawings in early 20th-century books and magazines.
  • B. Charles Roane
    Charles Roane is a music producer known for his work on the album "Back to Basics."
  • C. Wayne Hardin
    Wayne Hardin was a prominent American college football coach best known for his successful tenures leading the Navy Midshipmen and Temple Owls programs.
  • D. Pat Buttram
    Pat Buttram was an American character actor and comedian best known for his distinctive nasal voice and roles in Westerns and as Mr. Haney on the television series "Green Acres."
  • E. Ben E. Cabell
    Ben E. Cabell was an American politician who served as mayor of Dallas, Texas, in the early 20th century.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb580d4c819080bcc0bccd1e18e2 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373b2058081908558bdea4043b051 completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b374354c0c8190ba46845904b76340 completed March 13, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_69b374ad3bcc8190ac7d6e614eb696fa completed March 13, 2026, 2:21 a.m.
Created at: March 8, 2026, 3:17 p.m.