Triple

T7530284
Position Surface form Disambiguated ID Type / Status
Subject The Love Boat E178003 entity
Predicate mainCharacter P1183 FINISHED
Object Gopher Smith
Gopher Smith is a bumbling yet lovable ship’s purser on the classic American television series "The Love Boat."
 E669487 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: Gopher Smith | Statement: [The Love Boat, mainCharacter, Gopher Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gopher Smith
Context triple: [The Love Boat, mainCharacter, Gopher Smith]
  • A. Charlie Sitton
    Charlie Sitton is a former American college basketball standout best known for his All-American career at Oregon State University in the early 1980s.
  • B. Forrest Gregg
    Forrest Gregg was a Hall of Fame offensive tackle and successful NFL head coach, best known for his championship years with the Green Bay Packers under Vince Lombardi.
  • C. Tex Johnson
    Tex Johnson is a musician known for being a member of the blues-rock supergroup Derek and the Dominos.
  • D. Jefferson Smith
    Jefferson Smith is the idealistic, naive young senator in the classic film "Mr. Smith Goes to Washington," known for his integrity and famous filibuster against political corruption.
  • E. Ed Brophy
    Ed Brophy is an American boxing historian and executive best known for creating and leading the International Boxing Hall of Fame in Canastota, New York.
  • 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: Gopher Smith
Triple: [The Love Boat, mainCharacter, Gopher Smith]
Generated description
Gopher Smith is a bumbling yet lovable ship’s purser on the classic American television series "The Love Boat."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gopher Smith
Target entity description: Gopher Smith is a bumbling yet lovable ship’s purser on the classic American television series "The Love Boat."
  • A. Charlie Sitton
    Charlie Sitton is a former American college basketball standout best known for his All-American career at Oregon State University in the early 1980s.
  • B. Forrest Gregg
    Forrest Gregg was a Hall of Fame offensive tackle and successful NFL head coach, best known for his championship years with the Green Bay Packers under Vince Lombardi.
  • C. Tex Johnson
    Tex Johnson is a musician known for being a member of the blues-rock supergroup Derek and the Dominos.
  • D. Jefferson Smith
    Jefferson Smith is the idealistic, naive young senator in the classic film "Mr. Smith Goes to Washington," known for his integrity and famous filibuster against political corruption.
  • E. Ed Brophy
    Ed Brophy is an American boxing historian and executive best known for creating and leading the International Boxing Hall of Fame in Canastota, New York.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f81fbd4c8190b8ffedf1dbbb43aa completed March 27, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8463e08ac8190abd4d19b58067233 completed March 28, 2026, 9:21 p.m.
NEDg Description generation batch_69c846b326088190b93a32c70bcc97ca completed March 28, 2026, 9:22 p.m.
NED2 Entity disambiguation (via description) batch_69c8479490688190bc56b5a21d779b18 completed March 28, 2026, 9:26 p.m.
Created at: March 27, 2026, 3:47 p.m.