Triple

T8253118
Position Surface form Disambiguated ID Type / Status
Subject Spies E193003 entity
Predicate hasNotableBearer P458 FINISHED
Object Leo Spies
Leo Spies was a German composer and conductor known for his operas, ballets, and orchestral works in the early to mid-20th century.
 E724076 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: Leo Spies | Statement: [Spies, hasNotableBearer, Leo Spies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leo Spies
Context triple: [Spies, hasNotableBearer, Leo Spies]
  • A. Carl Spitz
    Carl Spitz was a renowned German-American dog trainer best known for training Toto in the classic film "The Wizard of Oz."
  • B. Arthur Seid
    Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
  • C. Henry Lewy
    Henry Lewy was a German-born American recording engineer and producer best known for his work on landmark albums by artists such as Joni Mitchell and Leonard Cohen.
  • D. Leo Klier
    Leo Klier was an American professional basketball player and two-time All-American at Notre Dame who played in the early years of the Basketball Association of America (BAA).
  • E. Carl Segaud
    Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
  • 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: Leo Spies
Triple: [Spies, hasNotableBearer, Leo Spies]
Generated description
Leo Spies was a German composer and conductor known for his operas, ballets, and orchestral works in the early to mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leo Spies
Target entity description: Leo Spies was a German composer and conductor known for his operas, ballets, and orchestral works in the early to mid-20th century.
  • A. Carl Spitz
    Carl Spitz was a renowned German-American dog trainer best known for training Toto in the classic film "The Wizard of Oz."
  • B. Arthur Seid
    Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
  • C. Henry Lewy
    Henry Lewy was a German-born American recording engineer and producer best known for his work on landmark albums by artists such as Joni Mitchell and Leonard Cohen.
  • D. Leo Klier
    Leo Klier was an American professional basketball player and two-time All-American at Notre Dame who played in the early years of the Basketball Association of America (BAA).
  • E. Carl Segaud
    Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78cbc7cc81909931440e95d6e691 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd681457908190b39fa034e9ca05d5 completed April 1, 2026, 6:46 p.m.
NEDg Description generation batch_69cd6d4fa17481909f28ad7eb9bceb42 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7dd65fac8190b8f44b1cf2be7bdd completed April 1, 2026, 8:19 p.m.
Created at: March 30, 2026, 5:48 p.m.