Triple

T6955214
Position Surface form Disambiguated ID Type / Status
Subject Ted (TV series) E161223 entity
Predicate executiveProducer P7225 FINISHED
Object Erika Huggins
Erika Huggins is an American film and television producer known for her work on major comedy projects, including serving as an executive at Imagine Entertainment.
E502723 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: Erika Huggins | Statement: [Ted (TV series), executiveProducer, Erika Huggins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erika Huggins
Context triple: [Ted (TV series), executiveProducer, Erika Huggins]
  • A. Erica Huggins
    Erica Huggins is a film producer known for her work on major Hollywood comedies and studio features.
  • B. Erika Rose
    Erika Rose is a writer best known for her work on the song "A Woman's Worth."
  • C. Erica Sutton
    Erica Sutton is a supporting character in the romantic comedy film "40 Days and 40 Nights," involved in the protagonist's life during his vow of celibacy.
  • D. Holly Sargis
    Holly Sargis is the naive teenage narrator and central female protagonist of Terrence Malick’s film "Badlands," whose perspective frames the story’s violent, romantic crime spree.
  • E. Meg Haston
    Meg Haston is an American author best known for her middle-grade and young adult novels, including the book that inspired the Nickelodeon television series "How to Rock."
  • 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: Erika Huggins
Triple: [Ted (TV series), executiveProducer, Erika Huggins]
Generated description
Erika Huggins is an American film and television producer known for her work on major comedy projects, including serving as an executive at Imagine Entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Erika Huggins
Target entity description: Erika Huggins is an American film and television producer known for her work on major comedy projects, including serving as an executive at Imagine Entertainment.
  • A. Erica Huggins chosen
    Erica Huggins is a film producer known for her work on major Hollywood comedies and studio features.
  • B. Erika Rose
    Erika Rose is a writer best known for her work on the song "A Woman's Worth."
  • C. Erica Sutton
    Erica Sutton is a supporting character in the romantic comedy film "40 Days and 40 Nights," involved in the protagonist's life during his vow of celibacy.
  • D. Holly Sargis
    Holly Sargis is the naive teenage narrator and central female protagonist of Terrence Malick’s film "Badlands," whose perspective frames the story’s violent, romantic crime spree.
  • E. Meg Haston
    Meg Haston is an American author best known for her middle-grade and young adult novels, including the book that inspired the Nickelodeon television series "How to Rock."
  • F. None of above.

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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c988df1e4c8190a46c971a3f9b2d49 completed March 29, 2026, 8:17 p.m.
NEDg Description generation batch_69c989f183b88190b9d3da1b9565a23f completed March 29, 2026, 8:22 p.m.
NED2 Entity disambiguation (via description) batch_69c98a94ea1881908a77be17237e7c12 completed March 29, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:29 p.m.