Triple

T21479972
Position Surface form Disambiguated ID Type / Status
Subject warship Michael E529961 entity
Predicate alsoKnownAs P39 FINISHED
Object Michael
Michael is a historical warship, likely a naval vessel named after the given male name Michael.
 E1486071 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: [warship Michael, alsoKnownAs, Michael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael
Context triple: [warship Michael, alsoKnownAs, 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. Michael
    Michael is the conflicted protagonist of the 2006 romantic dramedy "The Last Kiss," whose struggle with commitment and impending fatherhood drives the film’s central emotional tension.
  • 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: [warship Michael, alsoKnownAs, Michael]
Generated description
Michael is a historical warship, likely a naval vessel named after the given male name Michael.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael
Target entity description: Michael is a historical warship, likely a naval vessel named after the given male name Michael.
  • A. Michael
    Michael is a common masculine given name of Hebrew origin meaning "Who is like God?"
  • B. Michael
    Michael is a parish on the Isle of Man, known for its rural landscapes and coastal scenery.
  • C. Michael
    Michael is the central protagonist of the card game Dominion’s narrative setting, around whom the game’s implied story of kingdom-building and power struggles revolves.
  • D. 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.
  • E. 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.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea1b0130819088b8e96ddbb29317 completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cfff6dec8190ab480491c4a3f641 completed May 17, 2026, 2:26 p.m.
NEDg Description generation batch_6a09d0cd3068819094392cc4b7c6d061 completed May 17, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_6a09d1b4f4748190b5d4edfc298272e4 completed May 17, 2026, 2:33 p.m.
Created at: April 16, 2026, 6:20 p.m.