Triple

T13310059
Position Surface form Disambiguated ID Type / Status
Subject Laurie David E317035 entity
Predicate coAuthorWith P398 FINISHED
Object Kirstin Uhrenholdt
Kirstin Uhrenholdt is a writer best known for co-authoring environmental and lifestyle books with producer and climate activist Laurie David.
E1036058 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: Kirstin Uhrenholdt | Statement: [Laurie David, coAuthorWith, Kirstin Uhrenholdt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirstin Uhrenholdt
Context triple: [Laurie David, coAuthorWith, Kirstin Uhrenholdt]
  • A. Kristin Westphalen
    Kristin Westphalen is a central character in the science fiction TV series "seaQuest DSV," serving as the submarine's chief medical officer and science advisor.
  • B. Kristen Ruhlin
    Kristen Ruhlin is an American actress and writer best known for her work in independent films and comedy projects.
  • C. Kirstin Bauch
    Kirstin Bauch is a German politician who serves as the borough mayor of Charlottenburg-Wilmersdorf in Berlin.
  • D. Julie Blichfeldt
    Julie Blichfeldt is known as the wife of American actor and voice artist John Ratzenberger.
  • E. Kristine Froseth
    Kristine Froseth is a Norwegian-American actress and model best known for her leading roles in young adult television series and films, including the adaptation of John Green’s "Looking for Alaska."
  • 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: Kirstin Uhrenholdt
Triple: [Laurie David, coAuthorWith, Kirstin Uhrenholdt]
Generated description
Kirstin Uhrenholdt is a writer best known for co-authoring environmental and lifestyle books with producer and climate activist Laurie David.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kirstin Uhrenholdt
Target entity description: Kirstin Uhrenholdt is a writer best known for co-authoring environmental and lifestyle books with producer and climate activist Laurie David.
  • A. Kristin Westphalen
    Kristin Westphalen is a central character in the science fiction TV series "seaQuest DSV," serving as the submarine's chief medical officer and science advisor.
  • B. Kristen Ruhlin
    Kristen Ruhlin is an American actress and writer best known for her work in independent films and comedy projects.
  • C. Kirstin Bauch
    Kirstin Bauch is a German politician who serves as the borough mayor of Charlottenburg-Wilmersdorf in Berlin.
  • D. Julie Blichfeldt
    Julie Blichfeldt is known as the wife of American actor and voice artist John Ratzenberger.
  • E. Kristine Froseth
    Kristine Froseth is a Norwegian-American actress and model best known for her leading roles in young adult television series and films, including the adaptation of John Green’s "Looking for Alaska."
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f56abc8190951774a999e2ce11 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7266a316c81908361acc75581f211 completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f7270bf9308190a3e9427ffce0e3ee completed May 3, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_69f727d063c4819084b4990a0d759f79 completed May 3, 2026, 10:47 a.m.
Created at: April 9, 2026, 9:29 p.m.