Triple

T19366756
Position Surface form Disambiguated ID Type / Status
Subject Lezayre E484421 entity
Predicate borders P224 FINISHED
Object Michael
Michael is a parish on the Isle of Man, known for its rural landscapes and coastal scenery.
 E1372208 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: Michael | Statement: [Lezayre, borders, Michael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael
Context triple: [Lezayre, borders, Michael]
  • A. Michael
    Michael is a common masculine given name of Hebrew origin meaning "Who is like God?"
  • B. Michael
    "Michael" is a 1996 fantasy-comedy film starring John Travolta as an unconventional archangel visiting Earth.
  • C. Michael
    Michael is a central fictional character in the Australian television drama series "The Newsreader," which explores the personal and professional lives of journalists in the 1980s.
  • D. Michael
    Michael is a central figure in the crime drama "Sleepers," whose traumatic experiences and quest for justice drive much of the film’s emotional and moral conflict.
  • E. Mike
    Mike is the young boy protagonist of the 1992 family adventure film "Radio Flyer," which centers on his imaginative efforts to escape a troubled home life with his brother.
  • 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: Michael
Triple: [Lezayre, borders, Michael]
Generated description
Michael is a parish on the Isle of Man, known for its rural landscapes and coastal scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael
Target entity description: Michael is a parish on the Isle of Man, known for its rural landscapes and coastal scenery.
  • A. Michael
    Michael is a common masculine given name of Hebrew origin meaning "Who is like God?"
  • B. Michael
    "Michael" is a 1996 fantasy-comedy film starring John Travolta as an unconventional archangel visiting Earth.
  • C. Michael
    Michael is a central fictional character in the Australian television drama series "The Newsreader," which explores the personal and professional lives of journalists in the 1980s.
  • D. Michael
    Michael is a central figure in the crime drama "Sleepers," whose traumatic experiences and quest for justice drive much of the film’s emotional and moral conflict.
  • E. Mike
    Mike is the young boy protagonist of the 1992 family adventure film "Radio Flyer," which centers on his imaginative efforts to escape a troubled home life with his brother.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619ac26d4819095836d737b629cf1 completed April 20, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07241692fc81909b627d1939165823 completed May 15, 2026, 1:48 p.m.
NEDg Description generation batch_6a0725e546488190988000d77c961c0f completed May 15, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0726a79b308190a584bc808f4b2faa completed May 15, 2026, 1:59 p.m.
Created at: April 10, 2026, 1:35 p.m.