Triple

T17887000
Position Surface form Disambiguated ID Type / Status
Subject Starman E447223 entity
Predicate notableBearer P458 FINISHED
Object Mikaal Tomas
Mikaal Tomas is a DC Comics superhero, an alien hero who operates under the mantle of Starman and has been a member of the Justice League.
E1293525 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: Mikaal Tomas | Statement: [Starman, notableBearer, Mikaal Tomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikaal Tomas
Context triple: [Starman, notableBearer, Mikaal Tomas]
  • A. Mikael Salomon
    Mikael Salomon is a Danish cinematographer and film director known for his visually striking work on major Hollywood films and television series.
  • B. John Milarky
    John Milarky is a musician known for being a member of the Scottish rock band Simple Minds.
  • C. Miko Hughes
    Miko Hughes is an American former child actor best known for his memorable roles in films like "Pet Sematary," "Kindergarten Cop," and "Apollo 13," as well as the TV series "Full House."
  • D. Mika Muller
    Mika Muller is a central character in the French psychological thriller film "Merci pour le chocolat," around whom much of the movie’s suspense and mystery revolve.
  • E. Mika Boorem
    Mika Boorem is an American actress known for her roles in films such as "Blue Crush," "Hearts in Atlantis," and "Along Came a Spider."
  • 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: Mikaal Tomas
Triple: [Starman, notableBearer, Mikaal Tomas]
Generated description
Mikaal Tomas is a DC Comics superhero, an alien hero who operates under the mantle of Starman and has been a member of the Justice League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mikaal Tomas
Target entity description: Mikaal Tomas is a DC Comics superhero, an alien hero who operates under the mantle of Starman and has been a member of the Justice League.
  • A. Mikael Salomon
    Mikael Salomon is a Danish cinematographer and film director known for his visually striking work on major Hollywood films and television series.
  • B. John Milarky
    John Milarky is a musician known for being a member of the Scottish rock band Simple Minds.
  • C. Miko Hughes
    Miko Hughes is an American former child actor best known for his memorable roles in films like "Pet Sematary," "Kindergarten Cop," and "Apollo 13," as well as the TV series "Full House."
  • D. Mika Muller
    Mika Muller is a central character in the French psychological thriller film "Merci pour le chocolat," around whom much of the movie’s suspense and mystery revolve.
  • E. Mika Boorem
    Mika Boorem is an American actress known for her roles in films such as "Blue Crush," "Hearts in Atlantis," and "Along Came a Spider."
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c13bd288190a0302010ba4d0532 completed April 19, 2026, 9:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313dd15d481909d0d539817d11340 completed May 12, 2026, 11:49 a.m.
NEDg Description generation batch_6a031485c3908190a8fe49068d45e910 completed May 12, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a03151de8408190a4c8bc30f5606951 completed May 12, 2026, 11:55 a.m.
Created at: April 10, 2026, 10:18 a.m.