Triple

T549337
Position Surface form Disambiguated ID Type / Status
Subject Don DeLillo E11803 entity
Predicate givenName P17 FINISHED
Object Don
Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
 E75078 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: Don | Statement: [Don DeLillo, givenName, Don]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Don
Context triple: [Don DeLillo, givenName, Don]
  • A. Don
    The Don is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov, historically serving as an important trade route and cultural boundary.
  • B. Dave
    Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
  • C. Donald
    Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
  • D. Joe
    Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
  • E. Dennis
    Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
  • 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: Don
Triple: [Don DeLillo, givenName, Don]
Generated description
Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Don
Target entity description: Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • A. Don
    The Don is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov, historically serving as an important trade route and cultural boundary.
  • B. Dave
    Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
  • C. Donald
    Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
  • D. Joe
    Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
  • E. Dennis
    Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49901e4e481909a5ed93c21ab37bd completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5216c43148190961ff8cea8305b7e completed March 2, 2026, 5:34 a.m.
NEDg Description generation batch_69a5220225c881909a85dd8496954ba9 completed March 2, 2026, 5:37 a.m.
NED2 Entity disambiguation (via description) batch_69a522a84cf481908eeb3b6d7c2cb0d7 completed March 2, 2026, 5:39 a.m.
Created at: March 1, 2026, 7:32 p.m.