Triple

T5557904
Position Surface form Disambiguated ID Type / Status
Subject The Kingdom of Love (1917 film) E145692 entity
Predicate hasCastMember P2308 FINISHED
Object Goyne Whitman
Goyne Whitman was an early 20th-century film actor known for appearing in silent-era American cinema.
E532028 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: Goyne Whitman | Statement: [The Kingdom of Love (1917 film), hasCastMember, Goyne Whitman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goyne Whitman
Context triple: [The Kingdom of Love (1917 film), hasCastMember, Goyne Whitman]
  • A. Stephen Stanton
    Stephen Stanton is an American voice actor known for his work in animation, film, and video games, including roles in various Star Wars projects and other popular franchises.
  • B. Tom Hallion
    Tom Hallion is a veteran Major League Baseball umpire known for his long career and distinctive strike call.
  • C. Orator Shafer
    Orator Shafer was a 19th-century American professional baseball outfielder known for his strong throwing arm and standout defensive play.
  • D. Will Shephard
    Will Shephard is an actor known for his role in the 1976 remake of the classic monster film King Kong.
  • E. David Kurtz
    David Kurtz is a relatively obscure individual whose primary distinguishing feature is sharing the surname associated with the name Kurtz.
  • 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: Goyne Whitman
Triple: [The Kingdom of Love (1917 film), hasCastMember, Goyne Whitman]
Generated description
Goyne Whitman was an early 20th-century film actor known for appearing in silent-era American cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Goyne Whitman
Target entity description: Goyne Whitman was an early 20th-century film actor known for appearing in silent-era American cinema.
  • A. Stephen Stanton
    Stephen Stanton is an American voice actor known for his work in animation, film, and video games, including roles in various Star Wars projects and other popular franchises.
  • B. Tom Hallion
    Tom Hallion is a veteran Major League Baseball umpire known for his long career and distinctive strike call.
  • C. Orator Shafer
    Orator Shafer was a 19th-century American professional baseball outfielder known for his strong throwing arm and standout defensive play.
  • D. Will Shephard
    Will Shephard is an actor known for his role in the 1976 remake of the classic monster film King Kong.
  • E. David Kurtz
    David Kurtz is a relatively obscure individual whose primary distinguishing feature is sharing the surname associated with the name Kurtz.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201529a88190bf0135e032b048ea completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0283ebcd081909c86ced90c44266f completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c04441145481909fb7bd26dab129bd completed March 22, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69c044a919ec81909469793af9f837ea completed March 22, 2026, 7:36 p.m.
Created at: March 22, 2026, 3:36 p.m.