Triple

T9217915
Position Surface form Disambiguated ID Type / Status
Subject Kristanna Loken E221286 entity
Predicate familyName P18 FINISHED
Object Loken
Loken is a surname most notably associated with American actress and model Kristanna Loken.
 E786005 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: Loken | Statement: [Kristanna Loken, familyName, Loken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loken
Context triple: [Kristanna Loken, familyName, Loken]
  • A. Lofn
    Lofn is a lesser-known Norse goddess associated with gentleness and the sanctioning of forbidden or difficult loves among the Aesir.
  • B. Loarki
    Loarki is a lesser-known dialect of the Rajasthani language spoken by specific communities in the northwestern Indian subcontinent.
  • C. Lörick
    Lörick is a district of Düsseldorf, Germany, located on the left bank of the Rhine opposite the city center and known as a primarily residential area with riverside amenities.
  • D. Thortan
    Thortan is the historical site in Armenia traditionally regarded as the place where Saint Gregory the Illuminator, the patron saint and first official head of the Armenian Apostolic Church, died.
  • E. Thrym
    Thrym is a giant (jötunn) from Norse mythology best known for demanding the goddess Freyja as his bride in exchange for returning Thor’s stolen hammer.
  • 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: Loken
Triple: [Kristanna Loken, familyName, Loken]
Generated description
Loken is a surname most notably associated with American actress and model Kristanna Loken.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loken
Target entity description: Loken is a surname most notably associated with American actress and model Kristanna Loken.
  • A. Lofn
    Lofn is a lesser-known Norse goddess associated with gentleness and the sanctioning of forbidden or difficult loves among the Aesir.
  • B. Loarki
    Loarki is a lesser-known dialect of the Rajasthani language spoken by specific communities in the northwestern Indian subcontinent.
  • C. Lörick
    Lörick is a district of Düsseldorf, Germany, located on the left bank of the Rhine opposite the city center and known as a primarily residential area with riverside amenities.
  • D. Thortan
    Thortan is the historical site in Armenia traditionally regarded as the place where Saint Gregory the Illuminator, the patron saint and first official head of the Armenian Apostolic Church, died.
  • E. Thrym
    Thrym is a giant (jötunn) from Norse mythology best known for demanding the goddess Freyja as his bride in exchange for returning Thor’s stolen hammer.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda0ae3d081908ff3f5dab52df5ae completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0662427dc81908cb9bfacc5b9e0f5 completed April 4, 2026, 1:15 a.m.
NEDg Description generation batch_69d0697b506c8190b14acbec1266f4bc completed April 4, 2026, 1:29 a.m.
NED2 Entity disambiguation (via description) batch_69d06a01520081908f697cf285c88c00 completed April 4, 2026, 1:31 a.m.
Created at: March 30, 2026, 7:27 p.m.