Triple

T3068110
Position Surface form Disambiguated ID Type / Status
Subject Pose E62153 entity
Predicate hasMainCharacter P1183 FINISHED
Object Lulu Ferocity
Lulu Ferocity is a central character known for her bold, dynamic presence and fierce, fashion-forward persona in the narrative of "Pose."
 E322083 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: Lulu Ferocity | Statement: [Pose, hasMainCharacter, Lulu Ferocity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lulu Ferocity
Context triple: [Pose, hasMainCharacter, Lulu Ferocity]
  • A. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • B. Lil’ Red
    Lil’ Red is the inflatable, childlike sports mascot of the University of Nebraska–Lincoln, known for energizing crowds at Cornhuskers athletic events.
  • C. Furaha
    Furaha is an individual known primarily as the child of Fifi.
  • D. Lipstick Jungle
    Lipstick Jungle is an American comedy-drama television series that follows the professional and personal lives of three powerful women navigating careers and relationships in New York City.
  • E. Cinderfella
    Cinderfella is a 1960 comedy film that parodies the Cinderella fairy tale, starring Jerry Lewis in a gender-reversed lead role.
  • 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: Lulu Ferocity
Triple: [Pose, hasMainCharacter, Lulu Ferocity]
Generated description
Lulu Ferocity is a central character known for her bold, dynamic presence and fierce, fashion-forward persona in the narrative of "Pose."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lulu Ferocity
Target entity description: Lulu Ferocity is a central character known for her bold, dynamic presence and fierce, fashion-forward persona in the narrative of "Pose."
  • A. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • B. Lil’ Red
    Lil’ Red is the inflatable, childlike sports mascot of the University of Nebraska–Lincoln, known for energizing crowds at Cornhuskers athletic events.
  • C. Furaha
    Furaha is an individual known primarily as the child of Fifi.
  • D. Lipstick Jungle
    Lipstick Jungle is an American comedy-drama television series that follows the professional and personal lives of three powerful women navigating careers and relationships in New York City.
  • E. Cinderfella
    Cinderfella is a 1960 comedy film that parodies the Cinderella fairy tale, starring Jerry Lewis in a gender-reversed lead role.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fea06881909e5251eea26599ac completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef1972e08190942a068c0c563e52 completed March 11, 2026, 10:39 p.m.
NEDg Description generation batch_69b1efa970cc819093740b6663cc6ad7 completed March 11, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69b1f062abf48190ab891463c5b33622 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:02 p.m.