Triple

T18958857
Position Surface form Disambiguated ID Type / Status
Subject The Caddy E463854 entity
Predicate featuresCharacter P626 FINISHED
Object Lisa Anthony
Lisa Anthony is a fictional character appearing in the film "The Caddy."
E1350443 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: Lisa Anthony | Statement: [The Caddy, featuresCharacter, Lisa Anthony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisa Anthony
Context triple: [The Caddy, featuresCharacter, Lisa Anthony]
  • A. Lani O'Grady
    Lani O'Grady was an American actress best known for her role as Mary Bradford on the television series "Eight Is Enough."
  • B. Sharona Fleming
    Sharona Fleming is a fictional nurse and assertive personal assistant to detective Adrian Monk on the television series "Monk."
  • C. Elaine Sterling
    Elaine Sterling, better known by her stage name Sara Shane, was an American film and television actress active primarily in the 1950s and 1960s.
  • D. Lisa Douglas
    Lisa Douglas is the glamorous, city-bred wife who struggles to adapt to rural farm life in the classic American sitcom "Green Acres."
  • E. Lisa Bruce
    Lisa Bruce is a film producer best known for her work on acclaimed biographical dramas, including the Stephen Hawking film "The Theory of Everything."
  • 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: Lisa Anthony
Triple: [The Caddy, featuresCharacter, Lisa Anthony]
Generated description
Lisa Anthony is a fictional character appearing in the film "The Caddy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lisa Anthony
Target entity description: Lisa Anthony is a fictional character appearing in the film "The Caddy."
  • A. Lani O'Grady
    Lani O'Grady was an American actress best known for her role as Mary Bradford on the television series "Eight Is Enough."
  • B. Sharona Fleming
    Sharona Fleming is a fictional nurse and assertive personal assistant to detective Adrian Monk on the television series "Monk."
  • C. Elaine Sterling
    Elaine Sterling, better known by her stage name Sara Shane, was an American film and television actress active primarily in the 1950s and 1960s.
  • D. Lisa Douglas
    Lisa Douglas is the glamorous, city-bred wife who struggles to adapt to rural farm life in the classic American sitcom "Green Acres."
  • E. Lisa Bruce
    Lisa Bruce is a film producer best known for her work on acclaimed biographical dramas, including the Stephen Hawking film "The Theory of Everything."
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d057a48190b82b5788b3281e28 completed April 20, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059fd732f8819087374b0157bb693e completed May 14, 2026, 10:11 a.m.
NEDg Description generation batch_6a05a162a4ec81908bcdccd46e19035e completed May 14, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a05a1f3b8908190b8295a25fff9daba completed May 14, 2026, 10:20 a.m.
Created at: April 10, 2026, noon