Triple

T12334596
Position Surface form Disambiguated ID Type / Status
Subject Kathryn Erbe E294051 entity
Predicate familyName P18 FINISHED
Object Erbe
Erbe is a surname most notably associated with American actress Kathryn Erbe, known for her role on the television series "Law & Order: Criminal Intent."
 E978355 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: Erbe | Statement: [Kathryn Erbe, familyName, Erbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erbe
Context triple: [Kathryn Erbe, familyName, Erbe]
  • A. Eitel
    Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
  • B. Riederich
    Riederich is a small municipality in the state of Baden-Württemberg in southwestern Germany, situated within the district of Reutlingen.
  • C. Herentas
    Herentas is a deity or revered figure associated with a sanctuary that bears the same name, likely venerated in a specific local or regional religious tradition.
  • D. Hildebrand
    Hildebrand is the birth name of Pope Gregory VII, the 11th-century reformist pope central to the Investiture Controversy and the Gregorian Reforms.
  • E. Darré
    Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
  • 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: Erbe
Triple: [Kathryn Erbe, familyName, Erbe]
Generated description
Erbe is a surname most notably associated with American actress Kathryn Erbe, known for her role on the television series "Law & Order: Criminal Intent."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erbe
Target entity description: Erbe is a surname most notably associated with American actress Kathryn Erbe, known for her role on the television series "Law & Order: Criminal Intent."
  • A. Eitel
    Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
  • B. Riederich
    Riederich is a small municipality in the state of Baden-Württemberg in southwestern Germany, situated within the district of Reutlingen.
  • C. Herentas
    Herentas is a deity or revered figure associated with a sanctuary that bears the same name, likely venerated in a specific local or regional religious tradition.
  • D. Hildebrand
    Hildebrand is the birth name of Pope Gregory VII, the 11th-century reformist pope central to the Investiture Controversy and the Gregorian Reforms.
  • E. Darré
    Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa367348190b3991f256586a331 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62d0377348190b7c227cad70286ac completed May 2, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69f62dc269e88190acce761f77d44654 completed May 2, 2026, 5 p.m.
Created at: April 8, 2026, 9:53 p.m.