Triple

T21946366
Position Surface form Disambiguated ID Type / Status
Subject Nikki Solitano E541942 entity
Predicate portrayedBy P1507 FINISHED
Object Brea Bee
Brea Bee is an American actress best known for her supporting role in the film "Silver Linings Playbook."
E1509937 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: Brea Bee | Statement: [Nikki Solitano, portrayedBy, Brea Bee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brea Bee
Context triple: [Nikki Solitano, portrayedBy, Brea Bee]
  • A. Brea
    Brea is the protagonist of the 2018 thriller film "Traffik," a woman who becomes entangled in a dangerous human-trafficking ring during a romantic getaway.
  • B. Beeban
    Beeban is a feminine given name most notably borne by British film director Beeban Kidron.
  • C. Lymon
    Lymon is a variant spelling of the given name and surname Lyman, used for people and occasionally fictional characters.
  • D. Beesley
    Beesley is an English surname borne by various notable individuals, including actors and public figures.
  • E. Beeby
    Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
  • 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: Brea Bee
Triple: [Nikki Solitano, portrayedBy, Brea Bee]
Generated description
Brea Bee is an American actress best known for her supporting role in the film "Silver Linings Playbook."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brea Bee
Target entity description: Brea Bee is an American actress best known for her supporting role in the film "Silver Linings Playbook."
  • A. Brea
    Brea is the protagonist of the 2018 thriller film "Traffik," a woman who becomes entangled in a dangerous human-trafficking ring during a romantic getaway.
  • B. Beeban
    Beeban is a feminine given name most notably borne by British film director Beeban Kidron.
  • C. Lymon
    Lymon is a variant spelling of the given name and surname Lyman, used for people and occasionally fictional characters.
  • D. Beesley
    Beesley is an English surname borne by various notable individuals, including actors and public figures.
  • E. Beeby
    Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12427c2b48190949c41bd3be2d9f3 completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a60f4866c819087a3ef3650885266 completed May 18, 2026, 12:44 a.m.
NEDg Description generation batch_6a0a62ca0b708190a7be985078a35718 completed May 18, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0a635712f08190aa89892eb7555156 completed May 18, 2026, 12:54 a.m.
Created at: April 16, 2026, 7:57 p.m.