Triple

T9955541
Position Surface form Disambiguated ID Type / Status
Subject Prinz E195436 entity
Predicate hasNotableBearer P458 FINISHED
Object Michael Prinz
Michael Prinz is a person notable enough to be recognized as a prominent bearer of the surname Prinz.
E831700 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: Michael Prinz | Statement: [Prinz, hasNotableBearer, Michael Prinz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Prinz
Context triple: [Prinz, hasNotableBearer, Michael Prinz]
  • A. Steven Prinz
    Steven Prinz is a television producer best known for his executive production work on the acclaimed series "Swarm."
  • B. Nicholas D'Alesandro
    Nicholas D'Alesandro is a member of the prominent D'Alesandro political family from Baltimore, known primarily as a son of longtime Baltimore mayor Thomas D'Alesandro Jr.
  • C. Robert Prince
    Robert Prince was an American jazz arranger and composer best known for his work in television and film scoring.
  • D. Robert Prince
    Robert Prince was a 17th-century New England colonist best known as the husband of Sarah Osborne, one of the first women accused during the Salem witch trials.
  • E. Robert Prince
    Robert Prince was a U.S. Army Ranger officer best known for leading the daring World War II rescue mission of Allied prisoners of war during the Raid at Cabanatuan in the Philippines.
  • 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: Michael Prinz
Triple: [Prinz, hasNotableBearer, Michael Prinz]
Generated description
Michael Prinz is a person notable enough to be recognized as a prominent bearer of the surname Prinz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Prinz
Target entity description: Michael Prinz is a person notable enough to be recognized as a prominent bearer of the surname Prinz.
  • A. Steven Prinz
    Steven Prinz is a television producer best known for his executive production work on the acclaimed series "Swarm."
  • B. Nicholas D'Alesandro
    Nicholas D'Alesandro is a member of the prominent D'Alesandro political family from Baltimore, known primarily as a son of longtime Baltimore mayor Thomas D'Alesandro Jr.
  • C. Robert Prince
    Robert Prince was an American jazz arranger and composer best known for his work in television and film scoring.
  • D. Robert Prince
    Robert Prince was a 17th-century New England colonist best known as the husband of Sarah Osborne, one of the first women accused during the Salem witch trials.
  • E. Robert Prince
    Robert Prince was a U.S. Army Ranger officer best known for leading the daring World War II rescue mission of Allied prisoners of war during the Raid at Cabanatuan in the Philippines.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb69631d08190ab2b1d1c22d46da7 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d6743c481908a2040eb9d260b4a completed April 5, 2026, 10:45 a.m.
NEDg Description generation batch_69d23e6ee6d48190ae724d0ee96b64bf completed April 5, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_69d23fd274dc8190b7af27cf503d7dc6 completed April 5, 2026, 10:56 a.m.
Created at: March 30, 2026, 8:46 p.m.