Triple

T20117550
Position Surface form Disambiguated ID Type / Status
Subject It's a Mad, Mad, Mad, Mad World E490506 entity
Predicate screenwriter P2831 FINISHED
Object Tania Rose
Tania Rose is a screenwriter best known for her work on the classic ensemble comedy film "It's a Mad, Mad, Mad, Mad World."
E1411076 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: Tania Rose | Statement: [It's a Mad, Mad, Mad, Mad World, screenwriter, Tania Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tania Rose
Context triple: [It's a Mad, Mad, Mad, Mad World, screenwriter, Tania Rose]
  • A. Tania Nell
    Tania Nell is a British woman best known as the wife of Olympic distance-running champion Sir Mo Farah.
  • B. Tania Alexander
    Tania Alexander is a British television producer best known for developing and producing the popular reality series "Gogglebox."
  • C. Tania Torrens
    Tania Torrens is an actress known for her role in the film "Small Change" directed by François Truffaut.
  • D. Tania Elizabeth Dean
    Tania Elizabeth Dean is a musician best known as a member of the Athens, Georgia-based alternative rock band Love Tractor.
  • E. Tanya Jones
    Tanya Jones is best known as the wife of British actor and former footballer Vinnie Jones.
  • 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: Tania Rose
Triple: [It's a Mad, Mad, Mad, Mad World, screenwriter, Tania Rose]
Generated description
Tania Rose is a screenwriter best known for her work on the classic ensemble comedy film "It's a Mad, Mad, Mad, Mad World."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tania Rose
Target entity description: Tania Rose is a screenwriter best known for her work on the classic ensemble comedy film "It's a Mad, Mad, Mad, Mad World."
  • A. Tania Nell
    Tania Nell is a British woman best known as the wife of Olympic distance-running champion Sir Mo Farah.
  • B. Tania Alexander
    Tania Alexander is a British television producer best known for developing and producing the popular reality series "Gogglebox."
  • C. Tania Torrens
    Tania Torrens is an actress known for her role in the film "Small Change" directed by François Truffaut.
  • D. Tania Elizabeth Dean
    Tania Elizabeth Dean is a musician best known as a member of the Athens, Georgia-based alternative rock band Love Tractor.
  • E. Tanya Jones
    Tanya Jones is best known as the wife of British actor and former footballer Vinnie Jones.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673ab4e08190b76ec742605e103b completed April 20, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08271de03c81908f669f712ca1233a completed May 16, 2026, 8:13 a.m.
NEDg Description generation batch_6a08280f9e70819091682323b55ca855 completed May 16, 2026, 8:17 a.m.
NED2 Entity disambiguation (via description) batch_6a08288d98fc8190a146f43a027682f0 completed May 16, 2026, 8:19 a.m.
Created at: April 11, 2026, 11:30 p.m.