Triple

T22032944
Position Surface form Disambiguated ID Type / Status
Subject That '80s Show E544127 entity
Predicate mainCharacter P1183 FINISHED
Object Margaret
Margaret is a central character in the short-lived early-2000s sitcom "That '80s Show," which parodies and nostalgically portrays life and pop culture in the 1980s.
E1516196 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: [That '80s Show, mainCharacter, Margaret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret
Context triple: [That '80s Show, mainCharacter, 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 character in the animated series "Adventure Time," known as Finn the Human's caring adoptive mother.
  • C. Margaret
    "Margaret" is a song by Lana Del Rey featuring Bleachers from her 2023 album "Did You Know That There’s a Tunnel Under Ocean Blvd."
  • D. Margaret
    Margaret is a Japanese shōjo manga magazine published by Shueisha, known for serializing popular romance and drama series aimed at teenage girls.
  • E. 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.
  • 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: [That '80s Show, mainCharacter, Margaret]
Generated description
Margaret is a central character in the short-lived early-2000s sitcom "That '80s Show," which parodies and nostalgically portrays life and pop culture in the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margaret
Target entity description: Margaret is a central character in the short-lived early-2000s sitcom "That '80s Show," which parodies and nostalgically portrays life and pop culture in the 1980s.
  • A. 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.
  • B. Margaret
    Margaret is a character who appears in the animated television series "Exit 9B" from the show "Regular Show."
  • C. Margaret
    Margaret is a character in the animated series "Adventure Time," known as Finn the Human's caring adoptive mother.
  • 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 a character in Saul Bellow’s novel "Seize the Day," playing a key role in the troubled personal life of the protagonist.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ee84848190a22c24bf14498520 completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80a0e5e4819084506a7f56029d7c completed May 18, 2026, 2:59 a.m.
NEDg Description generation batch_6a0a81378b288190a1789b49828b6ae5 completed May 18, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0a818c3d4c8190910bf35d614b97d1 completed May 18, 2026, 3:03 a.m.
Created at: April 16, 2026, 8:24 p.m.