Triple

T21590289
Position Surface form Disambiguated ID Type / Status
Subject Hit & Miss E532759 entity
Predicate character P662 FINISHED
Object Levi
Levi is a fictional character from the British television sitcom "Hit & Miss."
 E1492041 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: Levi | Statement: [Hit & Miss, character, Levi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Levi
Context triple: [Hit & Miss, character, Levi]
  • A. Levi
    Levi is a popular ski resort and tourist destination in Finnish Lapland, known for its extensive slopes, winter sports, and vibrant holiday village.
  • B. Levi
    Levi is the surname of Primo Levi, the renowned Italian Jewish chemist and writer best known for his memoirs about surviving the Auschwitz concentration camp.
  • C. Levi
    Levi is a biblical patriarch, one of the twelve sons of Jacob and ancestor of the Israelite tribe of Levi, traditionally associated with priestly duties.
  • D. Levison
    Levison is the surname of American composer and songwriter Jay Livingston, known for his popular film scores and hit songs.
  • E. Levi Todd
    Levi Todd was an early American pioneer and political figure associated with the prominent Todd family, known for his role in the settlement and governance of Kentucky.
  • 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: Levi
Triple: [Hit & Miss, character, Levi]
Generated description
Levi is a fictional character from the British television sitcom "Hit & Miss."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Levi
Target entity description: Levi is a fictional character from the British television sitcom "Hit & Miss."
  • A. Levi
    Levi is the surname of Primo Levi, the renowned Italian Jewish chemist and writer best known for his memoirs about surviving the Auschwitz concentration camp.
  • B. Levi
    Levi is a biblical patriarch, one of the twelve sons of Jacob and ancestor of the Israelite tribe of Levi, traditionally associated with priestly duties.
  • C. Levi
    Levi is a popular ski resort and tourist destination in Finnish Lapland, known for its extensive slopes, winter sports, and vibrant holiday village.
  • D. Levison
    Levison is the surname of American composer and songwriter Jay Livingston, known for his popular film scores and hit songs.
  • E. Levi Todd
    Levi Todd was an early American pioneer and political figure associated with the prominent Todd family, known for his role in the settlement and governance of Kentucky.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadd0ec88190929c76137bd1603e completed April 27, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f681f8a08190965cf2c3b12eb134 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f85e21948190a6563d309c349f78 completed May 17, 2026, 5:18 p.m.
NED2 Entity disambiguation (via description) batch_6a09f8d30ff08190b3bc6c45f7b5257b completed May 17, 2026, 5:20 p.m.
Created at: April 16, 2026, 6:32 p.m.