Triple

T17328734
Position Surface form Disambiguated ID Type / Status
Subject Mayer, Arizona E420756 entity
Predicate namedAfter P63 FINISHED
Object Joseph Mayer NE ONDG

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: Joseph Mayer | Statement: [Mayer, Arizona, namedAfter, Joseph Mayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Mayer
Context triple: [Mayer, Arizona, namedAfter, Joseph Mayer]
  • A. Joseph Edward Mayer
    Joseph Edward Mayer was an American chemist and physicist known for his contributions to statistical mechanics and thermodynamics, and for his collaborations with his Nobel Prize–winning wife, Maria Goeppert Mayer.
  • B. Herbert Kline
    Herbert Kline was an American documentary filmmaker and screenwriter known for his socially conscious films in the mid-20th century.
  • C. August Rosenbluth
    August Rosenbluth is the charismatic yet cruel animal trainer and circus manager who serves as the primary antagonist in Sara Gruen’s novel "Water for Elephants."
  • D. Max Harold Fisch
    Max Harold Fisch was an American philosopher and scholar best known for his work on Charles Sanders Peirce and for influential translations and studies in the history of philosophy.
  • E. Louis Gruenberg
    Louis Gruenberg was a 20th-century American composer and pianist known for his operas, film scores, and contributions to modern classical music.
  • 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: Joseph Mayer
Triple: [Mayer, Arizona, namedAfter, Joseph Mayer]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joseph Mayer
Target entity description: Joseph Mayer was an American pioneer and entrepreneur in Arizona Territory, best known for founding and developing the town that now bears his name, Mayer, Arizona.
  • A. Joseph Edward Mayer
    Joseph Edward Mayer was an American chemist and physicist known for his contributions to statistical mechanics and thermodynamics, and for his collaborations with his Nobel Prize–winning wife, Maria Goeppert Mayer.
  • B. Herbert Kline
    Herbert Kline was an American documentary filmmaker and screenwriter known for his socially conscious films in the mid-20th century.
  • C. August Rosenbluth
    August Rosenbluth is the charismatic yet cruel animal trainer and circus manager who serves as the primary antagonist in Sara Gruen’s novel "Water for Elephants."
  • D. Max Harold Fisch
    Max Harold Fisch was an American philosopher and scholar best known for his work on Charles Sanders Peirce and for influential translations and studies in the history of philosophy.
  • E. Louis Gruenberg
    Louis Gruenberg was a 20th-century American composer and pianist known for his operas, film scores, and contributions to modern classical music.
  • F. None of above. chosen

Provenance (4 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d42154819093a240f677a63145 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01954ecadc8190a6484ff0a207fe9b completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01964923248190b0c3548d90bc1dd9 in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:43 a.m.