Triple

T4456152
Position Surface form Disambiguated ID Type / Status
Subject Elmer Layden E97728 entity
Predicate givenName P17 FINISHED
Object Elmer
Elmer is a masculine given name of Germanic origin that has been borne by various notable figures, including athletes, politicians, and fictional characters.
 E442214 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: Elmer | Statement: [Elmer Layden, givenName, Elmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elmer
Context triple: [Elmer Layden, givenName, Elmer]
  • A. Elmer Winter
    Elmer Winter was an American lawyer and entrepreneur best known as the co-founder of Manpower Inc., one of the world’s largest staffing and workforce solutions companies.
  • B. Willi
    Willi is a given name, typically a variant of Willy or William, used in various European countries.
  • C. Taz
    Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
  • D. Charlie Bubbles
    Charlie Bubbles is a 1967 British comedy-drama film, directed by and starring Albert Finney, noted for its portrayal of a disillusioned writer returning to his Northern England roots.
  • E. Wilbert
    Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
  • 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: Elmer
Triple: [Elmer Layden, givenName, Elmer]
Generated description
Elmer is a masculine given name of Germanic origin that has been borne by various notable figures, including athletes, politicians, and fictional characters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elmer
Target entity description: Elmer is a masculine given name of Germanic origin that has been borne by various notable figures, including athletes, politicians, and fictional characters.
  • A. Elmer Winter
    Elmer Winter was an American lawyer and entrepreneur best known as the co-founder of Manpower Inc., one of the world’s largest staffing and workforce solutions companies.
  • B. Willi
    Willi is a given name, typically a variant of Willy or William, used in various European countries.
  • C. Taz
    Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
  • D. Charlie Bubbles
    Charlie Bubbles is a 1967 British comedy-drama film, directed by and starring Albert Finney, noted for its portrayal of a disillusioned writer returning to his Northern England roots.
  • E. Wilbert
    Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3564216b081908c41109100b36862 completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6282743e08190a2c84f3b80c6d260 completed March 15, 2026, 3:31 a.m.
NEDg Description generation batch_69b62af29d3c81908cb82d142c2a55a4 completed March 15, 2026, 3:43 a.m.
NED2 Entity disambiguation (via description) batch_69b62ba4d6c88190b4eaacd09a0b2b66 completed March 15, 2026, 3:46 a.m.
Created at: March 12, 2026, 11:33 p.m.