Triple

T22541307
Position Surface form Disambiguated ID Type / Status
Subject The Accidental Husband E557294 entity
Predicate writer P1360 FINISHED
Object Mimi Hare
Mimi Hare is a screenwriter best known for co-writing the romantic comedy film "The Accidental Husband."
 E1541752 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: Mimi Hare | Statement: [The Accidental Husband, writer, Mimi Hare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mimi Hare
Context triple: [The Accidental Husband, writer, Mimi Hare]
  • A. Minnie Mink
    Minnie Mink is a central character in Quentin Tarantino’s film "The Hateful Eight," known as the tough, no-nonsense proprietor of the remote frontier lodge where the story unfolds.
  • B. Mimi
    Mimi is a coastal locality in Taranaki, New Zealand, situated within the traditional tribal area of the Māori iwi Ngāti Tama.
  • C. Mimi
    Mimi is a common affectionate diminutive or nickname for the given name Marie.
  • D. Mimi
    Mimi is a 2021 Indian Hindi-language comedy-drama film about surrogacy, starring Kriti Sanon and Sai Tamhankar.
  • E. Margo Lion
    Margo Lion was a prominent American theatrical producer known for shepherding numerous successful Broadway shows, including major musical hits.
  • 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: Mimi Hare
Triple: [The Accidental Husband, writer, Mimi Hare]
Generated description
Mimi Hare is a screenwriter best known for co-writing the romantic comedy film "The Accidental Husband."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mimi Hare
Target entity description: Mimi Hare is a screenwriter best known for co-writing the romantic comedy film "The Accidental Husband."
  • A. Minnie Mink
    Minnie Mink is a central character in Quentin Tarantino’s film "The Hateful Eight," known as the tough, no-nonsense proprietor of the remote frontier lodge where the story unfolds.
  • B. Mimi
    Mimi is a coastal locality in Taranaki, New Zealand, situated within the traditional tribal area of the Māori iwi Ngāti Tama.
  • C. Mimi
    Mimi is a common affectionate diminutive or nickname for the given name Marie.
  • D. Mimi
    Mimi is a 2021 Indian Hindi-language comedy-drama film about surrogacy, starring Kriti Sanon and Sai Tamhankar.
  • E. Margo Lion
    Margo Lion was a prominent American theatrical producer known for shepherding numerous successful Broadway shows, including major musical hits.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f3251808190a72b849157854d8d completed April 29, 2026, 1:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1de5c3a8819094bd269d3097fc1b completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b1edfa7b88190b51bebc22e3116c4 completed May 18, 2026, 2:14 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1f777a548190b6e13a349b090c5b completed May 18, 2026, 2:17 p.m.
Created at: April 16, 2026, 8:51 p.m.