Triple

T5886783
Position Surface form Disambiguated ID Type / Status
Subject Booker T. Washington E130884 entity
Predicate givenName P17 FINISHED
Object Booker
Booker is the given name of Booker T. Washington, the influential African American educator, author, and leader in the late 19th and early 20th centuries.
 E552803 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: Booker | Statement: [Booker T. Washington, givenName, Booker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Booker
Context triple: [Booker T. Washington, givenName, Booker]
  • A. Booker
    Booker is a central character in Toni Morrison's novel "God Help the Child," serving as Bride's emotionally scarred lover whose past trauma profoundly shapes their relationship.
  • B. Booker
    Booker is a character associated with Rain, likely appearing in the same narrative or fictional universe.
  • C. Booker
    Booker is a prestigious annual literary award given for the best original novel written in English and published in the United Kingdom or Ireland.
  • D. Barron
    Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
  • E. Barron
    Barron is a surname of English origin borne by various notable individuals across fields such as law, politics, and the arts.
  • 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: Booker
Triple: [Booker T. Washington, givenName, Booker]
Generated description
Booker is the given name of Booker T. Washington, the influential African American educator, author, and leader in the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Booker
Target entity description: Booker is the given name of Booker T. Washington, the influential African American educator, author, and leader in the late 19th and early 20th centuries.
  • A. Booker
    Booker is a central character in Toni Morrison's novel "God Help the Child," serving as Bride's emotionally scarred lover whose past trauma profoundly shapes their relationship.
  • B. Booker
    Booker is a prestigious annual literary award given for the best original novel written in English and published in the United Kingdom or Ireland.
  • C. Booker
    Booker is a character associated with Rain, likely appearing in the same narrative or fictional universe.
  • D. Barron
    Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
  • E. Barron
    Barron is a surname of English origin borne by various notable individuals across fields such as law, politics, and the arts.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0367a61648190bf97746caa4061fe completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b13ce8788190b07771180f0fa376 completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b1e67c448190808b3e93de8f6eed completed March 23, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69c0b286537481908741b9e0a368f94f completed March 23, 2026, 3:24 a.m.
Created at: March 22, 2026, 3:57 p.m.