Triple

T13515951
Position Surface form Disambiguated ID Type / Status
Subject Sweetie E322759 entity
Predicate castMember P1668 FINISHED
Object Tom Lycos
Tom Lycos is an Australian actor and theatre practitioner known for his work in stage and screen productions, including roles in acclaimed Australian dramas.
 E1045937 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: Tom Lycos | Statement: [Sweetie, castMember, Tom Lycos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Lycos
Context triple: [Sweetie, castMember, Tom Lycos]
  • A. Pat Proft
    Pat Proft is an American comedy writer and screenwriter best known for his work on spoof film franchises such as The Naked Gun and Police Academy.
  • B. Ted Zachary
    Ted Zachary is a film producer known for his work on movies such as "Four Friends."
  • C. Mike Teavee
    Mike Teavee is a television-obsessed, video game–addicted boy whose bratty behavior and fixation on screens lead to his comically disastrous fate during Willy Wonka’s factory tour.
  • D. Jon Oberheide
    Jon Oberheide is a cybersecurity entrepreneur and researcher best known as the co-founder and former CTO of Duo Security, a leading multi-factor authentication and zero-trust security company.
  • E. David Filo
    David Filo is an American billionaire entrepreneur best known as the co-founder of the web services company Yahoo!.
  • 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: Tom Lycos
Triple: [Sweetie, castMember, Tom Lycos]
Generated description
Tom Lycos is an Australian actor and theatre practitioner known for his work in stage and screen productions, including roles in acclaimed Australian dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Lycos
Target entity description: Tom Lycos is an Australian actor and theatre practitioner known for his work in stage and screen productions, including roles in acclaimed Australian dramas.
  • A. Pat Proft
    Pat Proft is an American comedy writer and screenwriter best known for his work on spoof film franchises such as The Naked Gun and Police Academy.
  • B. Ted Zachary
    Ted Zachary is a film producer known for his work on movies such as "Four Friends."
  • C. Mike Teavee
    Mike Teavee is a television-obsessed, video game–addicted boy whose bratty behavior and fixation on screens lead to his comically disastrous fate during Willy Wonka’s factory tour.
  • D. Jon Oberheide
    Jon Oberheide is a cybersecurity entrepreneur and researcher best known as the co-founder and former CTO of Duo Security, a leading multi-factor authentication and zero-trust security company.
  • E. David Filo
    David Filo is an American billionaire entrepreneur best known as the co-founder of the web services company Yahoo!.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa0ed508190b2855171b1945e84 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75494642881909f33962afe26f427 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f758b29cd4819093cecff5cfefc98f completed May 3, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_69f7593d74cc819099c5d39ae09c3f70 completed May 3, 2026, 2:18 p.m.
Created at: April 9, 2026, 9:44 p.m.