Triple

T8993048
Position Surface form Disambiguated ID Type / Status
Subject Elmo E214835 entity
Predicate introducedBy P513 FINISHED
Object Mark Neumann
Mark Neumann is an American politician and businessman best known for serving as a Republican U.S. Representative from Wisconsin in the 1990s.
 E771675 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: Mark Neumann | Statement: [Elmo, introducedBy, Mark Neumann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Neumann
Context triple: [Elmo, introducedBy, Mark Neumann]
  • A. Michael Haussman
    Michael Haussman is an American director and filmmaker best known for his work on high-profile music videos and commercials.
  • B. Michael Ehrlich
    Michael Ehrlich is a relatively obscure individual whose primary public mention appears to be as a namesake associated with the surname Ehrlich.
  • C. Robin Blaser
    Robin Blaser was an American-Canadian poet, essayist, and influential figure in postwar experimental poetry associated with the San Francisco Renaissance and later the Vancouver literary scene.
  • D. Jordan Kandell
    Jordan Kandell is a screenwriter best known for co-writing Disney’s animated feature film "Moana."
  • E. Christopher Schmidt
    Christopher Schmidt is the real name of the DC Comics antihero Peacemaker, a vigilante obsessed with achieving peace through often extreme and violent means.
  • 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: Mark Neumann
Triple: [Elmo, introducedBy, Mark Neumann]
Generated description
Mark Neumann is an American politician and businessman best known for serving as a Republican U.S. Representative from Wisconsin in the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Neumann
Target entity description: Mark Neumann is an American politician and businessman best known for serving as a Republican U.S. Representative from Wisconsin in the 1990s.
  • A. Michael Haussman
    Michael Haussman is an American director and filmmaker best known for his work on high-profile music videos and commercials.
  • B. Michael Ehrlich
    Michael Ehrlich is a relatively obscure individual whose primary public mention appears to be as a namesake associated with the surname Ehrlich.
  • C. Robin Blaser
    Robin Blaser was an American-Canadian poet, essayist, and influential figure in postwar experimental poetry associated with the San Francisco Renaissance and later the Vancouver literary scene.
  • D. Jordan Kandell
    Jordan Kandell is a screenwriter best known for co-writing Disney’s animated feature film "Moana."
  • E. Christopher Schmidt
    Christopher Schmidt is the real name of the DC Comics antihero Peacemaker, a vigilante obsessed with achieving peace through often extreme and violent means.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6876583081909d936dc3c3152587 completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0cd2b948190947a26fe11ad81bf completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd27680408190a5ebcebacf9e4303 completed April 3, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69cfd2dbf3cc81909589bd9467239573 completed April 3, 2026, 2:46 p.m.
Created at: March 30, 2026, 7:04 p.m.