Triple

T13119252
Position Surface form Disambiguated ID Type / Status
Subject The Northman E311679 entity
Predicate productionCompany P490 FINISHED
Object Square Peg
Square Peg is a film and television production company co-founded by director Robert Eggers, known for producing distinctive, auteur-driven genre films.
E1022344 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: Square Peg | Statement: [The Northman, productionCompany, Square Peg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Square Peg
Context triple: [The Northman, productionCompany, Square Peg]
  • A. Square Pegs
    Square Pegs is an early-1980s American teen sitcom best known for its offbeat, satirical take on high school life and its cult following.
  • B. The Square Peg
    The Square Peg is a 1958 British comedy film starring Norman Wisdom as a road repairman who is mistaken for a top German general during World War II.
  • C. Pengo
    Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
  • D. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • E. Boxx
    Boxx is the surname of Shannon Boxx, a former American professional soccer player and Olympic gold medalist known for her role as a defensive midfielder on the U.S. women’s national team.
  • 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: Square Peg
Triple: [The Northman, productionCompany, Square Peg]
Generated description
Square Peg is a film and television production company co-founded by director Robert Eggers, known for producing distinctive, auteur-driven genre films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Square Peg
Target entity description: Square Peg is a film and television production company co-founded by director Robert Eggers, known for producing distinctive, auteur-driven genre films.
  • A. Square Pegs
    Square Pegs is an early-1980s American teen sitcom best known for its offbeat, satirical take on high school life and its cult following.
  • B. The Square Peg
    The Square Peg is a 1958 British comedy film starring Norman Wisdom as a road repairman who is mistaken for a top German general during World War II.
  • C. Pengo
    Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
  • D. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • E. Boxx
    Boxx is the surname of Shannon Boxx, a former American professional soccer player and Olympic gold medalist known for her role as a defensive midfielder on the U.S. women’s national team.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98196e69081909111407ee3d9f08e completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e284c3c881909d65e2ba89fbe7af completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e383dd8c8190872304c99b753152 completed May 3, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6e47b052c8190a6f6ca5a6bd210f5 completed May 3, 2026, 6 a.m.
Created at: April 9, 2026, 9:06 p.m.