Triple

T17909852
Position Surface form Disambiguated ID Type / Status
Subject Exit 9B E447792 entity
Predicate featuresCharacter P626 FINISHED
Object Margaret
Margaret is a character who appears in the animated television series "Exit 9B" from the show "Regular Show."
E1296781 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: Margaret | Statement: [Exit 9B, featuresCharacter, Margaret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret
Context triple: [Exit 9B, featuresCharacter, Margaret]
  • A. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • B. Margaret
    Margaret is a 2011 American drama film written and directed by Kenneth Lonergan, known for its complex portrayal of grief and moral responsibility following a tragic bus accident in New York City.
  • C. Margaret
    Margaret is a witty and flirtatious gentlewoman in Shakespeare’s comedy "Much Ado About Nothing," whose unwitting involvement in a deception helps drive the play’s central conflict.
  • D. Margaret
    Margaret is a central female character in Eugene O’Neill’s play "The Great God Brown," embodying themes of love, identity, and disillusionment.
  • E. Margaret
    Margaret is a character in the animated series "Adventure Time," known as Finn the Human's caring adoptive mother.
  • 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: Margaret
Triple: [Exit 9B, featuresCharacter, Margaret]
Generated description
Margaret is a character who appears in the animated television series "Exit 9B" from the show "Regular Show."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margaret
Target entity description: Margaret is a character who appears in the animated television series "Exit 9B" from the show "Regular Show."
  • A. Margaret
    Margaret is a character in the animated series "Adventure Time," known as Finn the Human's caring adoptive mother.
  • B. Margaret
    Margaret is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of broadcast journalists in the 1980s.
  • C. Margaret
    Margaret is a central female character in Eugene O’Neill’s play "The Great God Brown," embodying themes of love, identity, and disillusionment.
  • D. Margaret
    Margaret is a witty and flirtatious gentlewoman in Shakespeare’s comedy "Much Ado About Nothing," whose unwitting involvement in a deception helps drive the play’s central conflict.
  • E. Margaret
    Margaret is one of the central young women confined to a brutal Irish Magdalene asylum in the 2002 drama film "The Magdalene Sisters."
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9f4f888190840c8b55672becf8 completed April 19, 2026, 9:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03212921308190984eb0b2d90f3d11 completed May 12, 2026, 12:46 p.m.
NEDg Description generation batch_6a032313086c8190b3c6c657a98942c0 completed May 12, 2026, 12:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0323f4a2c48190914075393ab1aca7 completed May 12, 2026, 12:58 p.m.
Created at: April 10, 2026, 10:19 a.m.