Triple

T12432411
Position Surface form Disambiguated ID Type / Status
Subject Dan Ingalls E297063 entity
Predicate workedWith P398 FINISHED
Object Ted Kaehler
Ted Kaehler is a computer scientist best known for his work on the Smalltalk programming language and object-oriented programming environments at Xerox PARC.
E987711 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: Ted Kaehler | Statement: [Dan Ingalls, workedWith, Ted Kaehler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Kaehler
Context triple: [Dan Ingalls, workedWith, Ted Kaehler]
  • A. David Kahler
    David Kahler is an American architect best known for his significant contributions to the design and expansion of the Milwaukee Art Museum.
  • B. Ted Koehler
    Ted Koehler was an American lyricist best known for his popular songs of the 1920s–1940s, many written in collaboration with composer Harold Arlen.
  • C. Jack Kehler
    Jack Kehler was an American character actor known for his quirky supporting roles in films and television, including appearances in works like The Big Lebowski and Men in Black II.
  • D. Mark Kohr
    Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
  • E. Alex Kerner
    Alex Kerner is the idealistic young protagonist of the German film "Good Bye, Lenin!", who stages an elaborate ruse to protect his fragile mother from learning about the fall of East 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: Ted Kaehler
Triple: [Dan Ingalls, workedWith, Ted Kaehler]
Generated description
Ted Kaehler is a computer scientist best known for his work on the Smalltalk programming language and object-oriented programming environments at Xerox PARC.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ted Kaehler
Target entity description: Ted Kaehler is a computer scientist best known for his work on the Smalltalk programming language and object-oriented programming environments at Xerox PARC.
  • A. David Kahler
    David Kahler is an American architect best known for his significant contributions to the design and expansion of the Milwaukee Art Museum.
  • B. Ted Koehler
    Ted Koehler was an American lyricist best known for his popular songs of the 1920s–1940s, many written in collaboration with composer Harold Arlen.
  • C. Jack Kehler
    Jack Kehler was an American character actor known for his quirky supporting roles in films and television, including appearances in works like The Big Lebowski and Men in Black II.
  • D. Mark Kohr
    Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
  • E. Alex Kerner
    Alex Kerner is the idealistic young protagonist of the German film "Good Bye, Lenin!", who stages an elaborate ruse to protect his fragile mother from learning about the fall of East 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7f2fd08190ab959742dbd8f9c0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b9aaf9c819098e8f8ba40c73363 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64d15a97c81909046190f0d0fd986 completed May 2, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f64e6d311c8190b851b89e394165d0 completed May 2, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:55 p.m.