Triple

T21659802
Position Surface form Disambiguated ID Type / Status
Subject Margaret Lindsay E534564 entity
Predicate familyName P18 FINISHED
Object Kies
Kies is a surname of German origin borne by various individuals, including the American actress Margaret Lindsay (born Margaret Kies).
 E1495525 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: Kies | Statement: [Margaret Lindsay, familyName, Kies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kies
Context triple: [Margaret Lindsay, familyName, Kies]
  • A. Kes
    Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
  • B. Kes
    Kes is an Ocampa crew member on Star Trek: Voyager, known for her short lifespan, strong empathic and telepathic abilities, and close relationships with Neelix and the Doctor.
  • C. Kiesen
    Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
  • D. Kais
    Kais is the given name of Kais Saied, the Tunisian politician and president known for his anti-corruption stance and consolidation of executive power.
  • E. Kij
    Kij is an ethnonymic variant referring to the Kizh, a Native American people indigenous to the Los Angeles Basin in Southern California.
  • 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: Kies
Triple: [Margaret Lindsay, familyName, Kies]
Generated description
Kies is a surname of German origin borne by various individuals, including the American actress Margaret Lindsay (born Margaret Kies).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kies
Target entity description: Kies is a surname of German origin borne by various individuals, including the American actress Margaret Lindsay (born Margaret Kies).
  • A. Kes
    Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
  • B. Kes
    Kes is an Ocampa crew member on Star Trek: Voyager, known for her short lifespan, strong empathic and telepathic abilities, and close relationships with Neelix and the Doctor.
  • C. Kiesen
    Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
  • D. Kais
    Kais is the given name of Kais Saied, the Tunisian politician and president known for his anti-corruption stance and consolidation of executive power.
  • E. Kij
    Kij is a small village located within the administrative district of Gmina Pierzchnica in south-central Poland.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c06844c81909b9c91e02fa4e6e1 completed April 27, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a159c33788190bf71df313526b663 completed May 17, 2026, 7:23 p.m.
NEDg Description generation batch_6a0a16c278188190855335930666cede completed May 17, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0a17a2c81481908e229ea58e61843e completed May 17, 2026, 7:31 p.m.
Created at: April 16, 2026, 6:36 p.m.