Triple

T10512456
Position Surface form Disambiguated ID Type / Status
Subject Love and Hisses E247948 entity
Predicate hasCastMember P2308 FINISHED
Object Andrew Tombes
Andrew Tombes was an American character actor and comedian known for his work in vaudeville, Broadway, and numerous Hollywood films during the 1930s and 1940s.
E868127 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: Andrew Tombes | Statement: [Love and Hisses, hasCastMember, Andrew Tombes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Tombes
Context triple: [Love and Hisses, hasCastMember, Andrew Tombes]
  • A. Eric Blore
    Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
  • B. Don Rhymer
    Don Rhymer was an American screenwriter known for his work on family-oriented films and animated features, including contributions to the Rio franchise.
  • C. Henry Heath
    Henry Heath is a relatively obscure individual whose name is notably associated with the surname Heath.
  • D. Billy Talbot
    Billy Talbot is an American bassist best known as a founding member of Neil Young’s backing band Crazy Horse.
  • E. Adam Deadmarsh
    Adam Deadmarsh is a former professional ice hockey forward best known for his NHL career with the Colorado Avalanche and Los Angeles Kings, including winning the Stanley Cup in 1996.
  • 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: Andrew Tombes
Triple: [Love and Hisses, hasCastMember, Andrew Tombes]
Generated description
Andrew Tombes was an American character actor and comedian known for his work in vaudeville, Broadway, and numerous Hollywood films during the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrew Tombes
Target entity description: Andrew Tombes was an American character actor and comedian known for his work in vaudeville, Broadway, and numerous Hollywood films during the 1930s and 1940s.
  • A. Eric Blore
    Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
  • B. Don Rhymer
    Don Rhymer was an American screenwriter known for his work on family-oriented films and animated features, including contributions to the Rio franchise.
  • C. Henry Heath
    Henry Heath is a relatively obscure individual whose name is notably associated with the surname Heath.
  • D. Billy Talbot
    Billy Talbot is an American bassist best known as a founding member of Neil Young’s backing band Crazy Horse.
  • E. Adam Deadmarsh
    Adam Deadmarsh is a former professional ice hockey forward best known for his NHL career with the Colorado Avalanche and Los Angeles Kings, including winning the Stanley Cup in 1996.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509ca214481909b3ed9265e7a6704 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcf65f808190993dbacde2df20eb completed April 10, 2026, 11:20 a.m.
NEDg Description generation batch_69d8e8ca94508190a2a6beca7f01fbd8 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d9020bce488190b78e555cdd5caec4 completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:27 p.m.