Triple

T17255903
Position Surface form Disambiguated ID Type / Status
Subject Hope Logan E418878 entity
Predicate portrayedBy P1507 FINISHED
Object Annika Noelle
Annika Noelle is an American actress best known for playing Hope Logan on the long-running soap opera "The Bold and the Beautiful."
E1258993 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: Annika Noelle | Statement: [Hope Logan, portrayedBy, Annika Noelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annika Noelle
Context triple: [Hope Logan, portrayedBy, Annika Noelle]
  • A. Annika
    Annika is a television crime drama series featuring Kate Dickie in a prominent role.
  • B. Annika Barthine
    Annika Barthine is known as the former spouse of Swedish politician and former Prime Minister Göran Persson.
  • C. Annika Bruhn
    Annika Bruhn is a German competitive swimmer who has represented Germany at multiple international championships, including the Olympic Games.
  • D. Annika Hansen
    Annika Hansen is the human birth name of Seven of Nine, a former Borg drone and prominent character in the Star Trek franchise.
  • E. Annika Backes
    Annika Backes is an American model known for her work in fashion and for being married to Dutch DJ and producer Tiësto.
  • 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: Annika Noelle
Triple: [Hope Logan, portrayedBy, Annika Noelle]
Generated description
Annika Noelle is an American actress best known for playing Hope Logan on the long-running soap opera "The Bold and the Beautiful."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Annika Noelle
Target entity description: Annika Noelle is an American actress best known for playing Hope Logan on the long-running soap opera "The Bold and the Beautiful."
  • A. Annika
    Annika is a television crime drama series featuring Kate Dickie in a prominent role.
  • B. Annika Barthine
    Annika Barthine is known as the former spouse of Swedish politician and former Prime Minister Göran Persson.
  • C. Annika Bruhn
    Annika Bruhn is a German competitive swimmer who has represented Germany at multiple international championships, including the Olympic Games.
  • D. Annika Hansen
    Annika Hansen is the human birth name of Seven of Nine, a former Borg drone and prominent character in the Star Trek franchise.
  • E. Annika Backes
    Annika Backes is an American model known for her work in fashion and for being married to Dutch DJ and producer Tiësto.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6ceb9c8190a4eeaf10e90cd5a0 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170fd7f7c81908f417fa758e861a2 completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a01722af058819099ed80edbd2f5d0a completed May 11, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0172cfe09081908bb64fc39bd2f46d completed May 11, 2026, 6:10 a.m.
Created at: April 10, 2026, 5:39 a.m.