Triple

T2246341
Position Surface form Disambiguated ID Type / Status
Subject Anthony Minghella E49512 entity
Predicate directed P7373 FINISHED
Object Mr. Wonderful
Mr. Wonderful is a 1993 romantic comedy film about a New York electrician who schemes to find a new husband for his ex-wife so he can afford his dream business.
E246862 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: Mr. Wonderful | Statement: [Anthony Minghella, directed, Mr. Wonderful]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Wonderful
Context triple: [Anthony Minghella, directed, Mr. Wonderful]
  • A. Mr. Sparks
    Mr. Sparks is a friendly, mechanically skilled character in the Noddy children's stories who often helps fix things in Toyland.
  • B. The Mister
    The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
  • C. Mr. Man
    "Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
  • D. Harvey
    Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
  • E. Harvey
    Harvey is the middle name of Lee Harvey Oswald, the alleged assassin of U.S. President John F. Kennedy.
  • 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: Mr. Wonderful
Triple: [Anthony Minghella, directed, Mr. Wonderful]
Generated description
Mr. Wonderful is a 1993 romantic comedy film about a New York electrician who schemes to find a new husband for his ex-wife so he can afford his dream business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mr. Wonderful
Target entity description: Mr. Wonderful is a 1993 romantic comedy film about a New York electrician who schemes to find a new husband for his ex-wife so he can afford his dream business.
  • A. Mr. Sparks
    Mr. Sparks is a friendly, mechanically skilled character in the Noddy children's stories who often helps fix things in Toyland.
  • B. The Mister
    The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
  • C. Mr. Man
    "Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
  • D. Harvey
    Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
  • E. Harvey
    Harvey is a common English surname of Old French origin, often associated with the given name Harvey and borne by various notable individuals.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ea75d881909d4e176a432f32e8 completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b147b388190a20a604cc176191f completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6b9edb688190a4e6e4a4ddf964f3 completed March 9, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_69ae6bfbb6cc81909d647b3875450b4b completed March 9, 2026, 6:43 a.m.
Created at: March 4, 2026, 7:47 p.m.