Triple

T14955607
Position Surface form Disambiguated ID Type / Status
Subject David Koechner E372916 entity
Predicate familyName P18 FINISHED
Object Koechner
Koechner is the surname of American actor and comedian David Koechner, known for his roles in films like "Anchorman" and the U.S. version of "The Office."
 E1128103 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: Koechner | Statement: [David Koechner, familyName, Koechner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Koechner
Context triple: [David Koechner, familyName, Koechner]
  • A. Mr. Keuner
    Mr. Keuner is a philosophical everyman figure created by Bertolt Brecht, used in a series of parable-like stories to explore ethical, political, and existential questions.
  • B. Kinnear
    Kinnear is an English surname most notably associated with the British actor Rory Kinnear and his theatrical family.
  • C. Koepp
    Koepp is a German-origin surname most notably associated with American screenwriter and director David Koepp, known for his work on major Hollywood films.
  • D. Kurt Katch
    Kurt Katch was a character actor known for his roles in Hollywood films of the 1930s and 1940s, often portraying sinister or foreign villains.
  • E. Menzel
    Menzel is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, 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: Koechner
Triple: [David Koechner, familyName, Koechner]
Generated description
Koechner is the surname of American actor and comedian David Koechner, known for his roles in films like "Anchorman" and the U.S. version of "The Office."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Koechner
Target entity description: Koechner is the surname of American actor and comedian David Koechner, known for his roles in films like "Anchorman" and the U.S. version of "The Office."
  • A. Mr. Keuner
    Mr. Keuner is a philosophical everyman figure created by Bertolt Brecht, used in a series of parable-like stories to explore ethical, political, and existential questions.
  • B. Kinnear
    Kinnear is an English surname most notably associated with the British actor Rory Kinnear and his theatrical family.
  • C. Koepp
    Koepp is a German-origin surname most notably associated with American screenwriter and director David Koepp, known for his work on major Hollywood films.
  • D. Kurt Katch
    Kurt Katch was a character actor known for his roles in Hollywood films of the 1930s and 1940s, often portraying sinister or foreign villains.
  • E. Menzel
    Menzel is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cc73848190ac181782b20dc838 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9c71cc8190aff9165a6f97981a completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe814659fc8190b1ddc30187d344e4 completed May 9, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69fe81a932b48190a483815d2350c3a4 completed May 9, 2026, 12:36 a.m.
Created at: April 10, 2026, 2:40 a.m.