Triple

T9987984
Position Surface form Disambiguated ID Type / Status
Subject Wild E196816 entity
Predicate character P662 FINISHED
Object Bobbi Grey
Bobbi Grey is a fictional character from the 2014 American horror film "Wild."
 E835339 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: Bobbi Grey | Statement: [Wild, character, Bobbi Grey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bobbi Grey
Context triple: [Wild, character, Bobbi Grey]
  • A. Bobbi Morse
    Bobbi Morse is a Marvel Comics character, also known as Mockingbird, who is a highly skilled S.H.I.E.L.D. agent and combatant often associated with the Avengers.
  • B. Donna Dixon
    Donna Dixon is an American actress and former model known for her roles in 1980s comedies and for her long career in film and television.
  • C. Betsy Garth
    Betsy Garth is a central character in the Western television series "The Virginian," known for her close connection to the Shiloh Ranch and its core cast.
  • D. Rachael Flatt
    Rachael Flatt is an American figure skater and 2010 U.S. national champion who represented the United States at the 2010 Winter Olympics.
  • E. Marilyn Vance
    Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
  • 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: Bobbi Grey
Triple: [Wild, character, Bobbi Grey]
Generated description
Bobbi Grey is a fictional character from the 2014 American horror film "Wild."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bobbi Grey
Target entity description: Bobbi Grey is a fictional character from the 2014 American horror film "Wild."
  • A. Bobbi Morse
    Bobbi Morse is a Marvel Comics character, also known as Mockingbird, who is a highly skilled S.H.I.E.L.D. agent and combatant often associated with the Avengers.
  • B. Donna Dixon
    Donna Dixon is an American actress and former model known for her roles in 1980s comedies and for her long career in film and television.
  • C. Betsy Garth
    Betsy Garth is a central character in the Western television series "The Virginian," known for her close connection to the Shiloh Ranch and its core cast.
  • D. Rachael Flatt
    Rachael Flatt is an American figure skater and 2010 U.S. national champion who represented the United States at the 2010 Winter Olympics.
  • E. Marilyn Vance
    Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79e10408190bcb4e55b6a0df79c completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a21b2388190b16f0aa142846599 completed April 5, 2026, 1:56 p.m.
NEDg Description generation batch_69d26e1f062c8190829d5082795266b4 completed April 5, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_69d26e3a6704819085e0044490fbfc49 completed April 5, 2026, 2:14 p.m.
Created at: March 30, 2026, 8:50 p.m.