Triple

T10201908
Position Surface form Disambiguated ID Type / Status
Subject Pathfinder E238902 entity
Predicate producer P490 FINISHED
Object Arnold W. Messer
Arnold W. Messer is a film producer known for his work on the movie "Pathfinder."
E895787 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: Arnold W. Messer | Statement: [Pathfinder, producer, Arnold W. Messer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnold W. Messer
Context triple: [Pathfinder, producer, Arnold W. Messer]
  • A. Arnold W. Messer
    Arnold W. Messer is a film producer known for his work on notable movies including the psychological thriller "Black Swan."
  • B. Arnold Messer
    Arnold Messer is a film producer known for his work on movies such as "License to Wed."
  • C. Arnold Messer
    Arnold Messer is a film producer best known for his work on the crime thriller "Zodiac."
  • D. Arnold O. Benz
    Arnold O. Benz is a Swiss astrophysicist renowned for his pioneering research on star formation and cosmic plasmas, recognized by major awards in solar and stellar physics.
  • E. George A. Bermann
    George A. Bermann is a prominent American legal scholar and expert in international and comparative law, particularly known for his work in international arbitration.
  • 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: Arnold W. Messer
Triple: [Pathfinder, producer, Arnold W. Messer]
Generated description
Arnold W. Messer is a film producer known for his work on the movie "Pathfinder."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arnold W. Messer
Target entity description: Arnold W. Messer is a film producer known for his work on the movie "Pathfinder."
  • A. Arnold W. Messer
    Arnold W. Messer is a film producer known for his work on notable movies including the psychological thriller "Black Swan."
  • B. Arnold Messer
    Arnold Messer is a film producer best known for his work on the crime thriller "Zodiac."
  • C. Arnold Messer
    Arnold Messer is a film producer known for his work on movies such as "License to Wed."
  • D. Arnold O. Benz
    Arnold O. Benz is a Swiss astrophysicist renowned for his pioneering research on star formation and cosmic plasmas, recognized by major awards in solar and stellar physics.
  • E. George A. Bermann
    George A. Bermann is a prominent American legal scholar and expert in international and comparative law, particularly known for his work in international arbitration.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee40cb7481908a1bf4d5636eb8ef completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23aeb6f9c8190a986af35bcf353f7 completed April 17, 2026, 1:51 p.m.
NEDg Description generation batch_69e2453f6f008190847298f4006290f7 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e288b1d64c8190b31313634b706d0a completed April 17, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:14 p.m.