Triple

T8874010
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Baker E211222 entity
Predicate hasShortForm P43 FINISHED
Object N. Baker
N. Baker is the abbreviated name commonly used to refer to the writer Nicholas Baker.
 E763175 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: N. Baker | Statement: [Nicholas Baker, hasShortForm, N. Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N. Baker
Context triple: [Nicholas Baker, hasShortForm, N. Baker]
  • A. Elizabeth Berger
    Elizabeth Berger is an American television and film writer best known for co-writing the coming-of-age film "Love, Simon" and co-creating the series "This Is Us."
  • B. Kathy Baker
    Kathy Baker is an American actress acclaimed for her nuanced performances in film and television, particularly for her role in the series "Picket Fences."
  • C. Carol Baum
    Carol Baum is an American film producer known for her work on numerous feature films, including the 1992 drama "Shining Through."
  • D. Beverly Todd
    Beverly Todd is an American actress known for her work in film, television, and theater, including a notable role in the comedy-drama "The Bucket List."
  • E. Beverly Gage
    Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
  • 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: N. Baker
Triple: [Nicholas Baker, hasShortForm, N. Baker]
Generated description
N. Baker is the abbreviated name commonly used to refer to the writer Nicholas Baker.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N. Baker
Target entity description: N. Baker is the abbreviated name commonly used to refer to the writer Nicholas Baker.
  • A. Elizabeth Berger
    Elizabeth Berger is an American television and film writer best known for co-writing the coming-of-age film "Love, Simon" and co-creating the series "This Is Us."
  • B. Kathy Baker
    Kathy Baker is an American actress acclaimed for her nuanced performances in film and television, particularly for her role in the series "Picket Fences."
  • C. Carol Baum
    Carol Baum is an American film producer known for her work on numerous feature films, including the 1992 drama "Shining Through."
  • D. Beverly Todd
    Beverly Todd is an American actress known for her work in film, television, and theater, including a notable role in the comedy-drama "The Bucket List."
  • E. Beverly Gage
    Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc614451d081908804430a72d00edf completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0f9714c8190909587eecbb10e1a completed April 3, 2026, 11:14 a.m.
NEDg Description generation batch_69cfa180c9048190b59e6b8437886ac9 completed April 3, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69cfa26ab1b881909e42a435f4e3333c completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:52 p.m.