Triple

T16813127
Position Surface form Disambiguated ID Type / Status
Subject Larry Kellner E408665 entity
Predicate familyName P18 FINISHED
Object Kellner
Kellner is a surname of German origin borne by various notable individuals across fields such as business, academia, and the arts.
 E1235196 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: Kellner | Statement: [Larry Kellner, familyName, Kellner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kellner
Context triple: [Larry Kellner, familyName, Kellner]
  • A. Knuedler
    Knuedler is the Luxembourgish name for Place Guillaume II, a central public square in Luxembourg City known for its historic buildings and civic events.
  • B. Katzelmacher
    Katzelmacher is a 1969 German New Wave drama film that explores xenophobia and social alienation in a group of Munich friends after the arrival of a Greek immigrant.
  • C. Mehoffer
    Mehoffer is the surname of Józef Mehoffer, a prominent Polish painter and decorative artist associated with the Young Poland movement.
  • D. Koenigsmacker
    Koenigsmacker is a commune in northeastern France’s Grand Est region, situated in the Moselle department.
  • E. 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."
  • 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: Kellner
Triple: [Larry Kellner, familyName, Kellner]
Generated description
Kellner is a surname of German origin borne by various notable individuals across fields such as business, academia, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kellner
Target entity description: Kellner is a surname of German origin borne by various notable individuals across fields such as business, academia, and the arts.
  • A. Knuedler
    Knuedler is the Luxembourgish name for Place Guillaume II, a central public square in Luxembourg City known for its historic buildings and civic events.
  • B. Katzelmacher
    Katzelmacher is a 1969 German New Wave drama film that explores xenophobia and social alienation in a group of Munich friends after the arrival of a Greek immigrant.
  • C. Mehoffer
    Mehoffer is the surname of Józef Mehoffer, a prominent Polish painter and decorative artist associated with the Young Poland movement.
  • D. Koenigsmacker
    Koenigsmacker is a commune in northeastern France’s Grand Est region, situated in the Moselle department.
  • E. 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."
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2df5c888190a462614e1432c357 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b32d2a588190b59bad56f8817bce completed May 10, 2026, 4:32 p.m.
NED2 Entity disambiguation (via description) batch_6a00b3d14b3c819081f435777f47eca3 completed May 10, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.