Triple

T14552271
Position Surface form Disambiguated ID Type / Status
Subject Moss E341447 entity
Predicate hasNotableBearer P458 FINISHED
Object Howard Moss
Howard Moss was an American poet, critic, and longtime poetry editor of The New Yorker, known for his elegant verse and influential role in mid-20th-century American literature.
 E1107049 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: Howard Moss | Statement: [Moss, hasNotableBearer, Howard Moss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Howard Moss
Context triple: [Moss, hasNotableBearer, Howard Moss]
  • A. John Moss
    John Moss is a tough, streetwise New York City detective who serves as one of the main protagonists in the action-comedy film "The Hard Way."
  • B. Jack Moss
    Jack Moss was an actor known for his role in the film "Journey into Fear."
  • C. Johnny Moss
    Johnny Moss was an American professional poker player widely regarded as one of the greatest early champions in World Series of Poker history.
  • D. Perry Moss
    Perry Moss was an American football coach and former player best known for his roles in college and professional leagues, including the NFL and various alternative football leagues.
  • E. William Moss
    William Moss is known primarily as the husband of American dancer and actress Ann Miller.
  • 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: Howard Moss
Triple: [Moss, hasNotableBearer, Howard Moss]
Generated description
Howard Moss was an American poet, critic, and longtime poetry editor of The New Yorker, known for his elegant verse and influential role in mid-20th-century American literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Howard Moss
Target entity description: Howard Moss was an American poet, critic, and longtime poetry editor of The New Yorker, known for his elegant verse and influential role in mid-20th-century American literature.
  • A. John Moss
    John Moss is a tough, streetwise New York City detective who serves as one of the main protagonists in the action-comedy film "The Hard Way."
  • B. Jack Moss
    Jack Moss was an actor known for his role in the film "Journey into Fear."
  • C. Johnny Moss
    Johnny Moss was an American professional poker player widely regarded as one of the greatest early champions in World Series of Poker history.
  • D. Perry Moss
    Perry Moss was an American football coach and former player best known for his roles in college and professional leagues, including the NFL and various alternative football leagues.
  • E. William Moss
    William Moss is known primarily as the husband of American dancer and actress Ann Miller.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab7d698819085fd81d7b6f96317 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8b8566cc81908c5cecefb5d71e63 completed May 8, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd8e8c320c8190b08af08226e50622 completed May 8, 2026, 7:19 a.m.
Created at: April 10, 2026, 1:23 a.m.