Triple

T10442511
Position Surface form Disambiguated ID Type / Status
Subject Nadia E246202 entity
Predicate hasNotableBearer P458 FINISHED
Object Nadia Hilker
Nadia Hilker is a German actress best known for her roles in the TV series "The 100" and "The Walking Dead," as well as the film "The Divergent Series: Allegiant."
 E864081 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: Nadia Hilker | Statement: [Nadia, hasNotableBearer, Nadia Hilker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nadia Hilker
Context triple: [Nadia, hasNotableBearer, Nadia Hilker]
  • A. Michaela Reichelt
    Michaela Reichelt is a German local politician who serves as the mayor of the municipality of Inning am Ammersee in Bavaria.
  • B. Kaja Fehr
    Kaja Fehr is an editor known for her work on the film "One Christmas."
  • C. Veronika Carstens
    Veronika Carstens was a German physician and advocate of naturopathic medicine who became widely known as the wife of former German President Karl Carstens.
  • D. Nadja Schildknecht
    Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
  • E. Verena Rehm
    Verena Rehm is a German singer and songwriter best known as the female vocalist for the Eurodance project Groove Coverage.
  • 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: Nadia Hilker
Triple: [Nadia, hasNotableBearer, Nadia Hilker]
Generated description
Nadia Hilker is a German actress best known for her roles in the TV series "The 100" and "The Walking Dead," as well as the film "The Divergent Series: Allegiant."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nadia Hilker
Target entity description: Nadia Hilker is a German actress best known for her roles in the TV series "The 100" and "The Walking Dead," as well as the film "The Divergent Series: Allegiant."
  • A. Michaela Reichelt
    Michaela Reichelt is a German local politician who serves as the mayor of the municipality of Inning am Ammersee in Bavaria.
  • B. Kaja Fehr
    Kaja Fehr is an editor known for her work on the film "One Christmas."
  • C. Veronika Carstens
    Veronika Carstens was a German physician and advocate of naturopathic medicine who became widely known as the wife of former German President Karl Carstens.
  • D. Nadja Schildknecht
    Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
  • E. Verena Rehm
    Verena Rehm is a German singer and songwriter best known as the female vocalist for the Eurodance project Groove Coverage.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbd731c819084dfff83b4481ae8 completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ee0c2208190ae8d51a2a89a2586 completed April 10, 2026, 4:38 a.m.
NEDg Description generation batch_69d886c3fdcc8190a67a7f7788b8a2e8 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dc15ab481909011c5de93bbab14 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:15 p.m.