Triple

T9403611
Position Surface form Disambiguated ID Type / Status
Subject Ken Eikenberry E226535 entity
Predicate name P16 FINISHED
Object Ken Eikenberry
Ken Eikenberry is an American lawyer and Republican politician best known for serving as the Attorney General of Washington State from 1981 to 1993.
 E830815 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: Ken Eikenberry | Statement: [Ken Eikenberry, name, Ken Eikenberry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ken Eikenberry
Context triple: [Ken Eikenberry, name, Ken Eikenberry]
  • A. John Kamps
    John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
  • B. Alan Ereira
    Alan Ereira is a British historian, broadcaster, and documentary filmmaker known for his work on medieval history and indigenous cultures.
  • C. Shawn Eichman
    Shawn Eichman is an American political activist best known as a defendant in the landmark U.S. Supreme Court case that struck down federal prohibitions on flag desecration as unconstitutional.
  • D. Ken Kessler
    Ken Kessler is a meek, put-upon businessman who becomes entangled in a chaotic kidnapping scheme in the dark comedy film "Ruthless People."
  • E. Eric Danchick
    Eric Danchick is a film producer known for his work on the movie "Bound 2."
  • 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: Ken Eikenberry
Triple: [Ken Eikenberry, name, Ken Eikenberry]
Generated description
Ken Eikenberry is an American lawyer and Republican politician best known for serving as the Attorney General of Washington State from 1981 to 1993.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ken Eikenberry
Target entity description: Ken Eikenberry is an American lawyer and Republican politician best known for serving as the Attorney General of Washington State from 1981 to 1993.
  • A. John Kamps
    John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
  • B. Alan Ereira
    Alan Ereira is a British historian, broadcaster, and documentary filmmaker known for his work on medieval history and indigenous cultures.
  • C. Shawn Eichman
    Shawn Eichman is an American political activist best known as a defendant in the landmark U.S. Supreme Court case that struck down federal prohibitions on flag desecration as unconstitutional.
  • D. Ken Kessler
    Ken Kessler is a meek, put-upon businessman who becomes entangled in a chaotic kidnapping scheme in the dark comedy film "Ruthless People."
  • E. Eric Danchick
    Eric Danchick is a film producer known for his work on the movie "Bound 2."
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51bf7e5c8190850b671778496150 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d228318de881909bbf4e68331bb586 completed April 5, 2026, 9:15 a.m.
NEDg Description generation batch_69d22968194c8190b919ed3ab2dcfc33 completed April 5, 2026, 9:20 a.m.
NED2 Entity disambiguation (via description) batch_69d229d10dac81909f34a9977e6445a0 completed April 5, 2026, 9:22 a.m.
Created at: March 30, 2026, 7:46 p.m.