Triple

T23536025
Position Surface form Disambiguated ID Type / Status
Subject Brian Selznick E576700 entity
Predicate spouse P13 FINISHED
Object David Serlin
David Serlin is an American writer and academic known for his work on disability studies, media, and cultural history.
 E1591859 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: David Serlin | Statement: [Brian Selznick, spouse, David Serlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Serlin
Context triple: [Brian Selznick, spouse, David Serlin]
  • A. David Selinger
    David Selinger is an American entrepreneur and technologist best known as a co-founder of the online real estate company Redfin and for his work in data analytics and AI-driven businesses.
  • B. David Siegel
    David Siegel is an author known for writing the book "Escape."
  • C. David Siegel
    David Siegel is a film editor known for his work on major Hollywood productions, including the 1998 remake of "Godzilla."
  • D. David Siegel
    David Siegel is a music producer known for his work on various pop and electronic recordings, including the track "Escape."
  • E. David Seidner
    David Seidner was an American fashion and portrait photographer known for his elegant, art-inspired imagery and collaborations with major designers and cultural institutions.
  • 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: David Serlin
Triple: [Brian Selznick, spouse, David Serlin]
Generated description
David Serlin is an American writer and academic known for his work on disability studies, media, and cultural history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Serlin
Target entity description: David Serlin is an American writer and academic known for his work on disability studies, media, and cultural history.
  • A. David Selinger
    David Selinger is an American entrepreneur and technologist best known as a co-founder of the online real estate company Redfin and for his work in data analytics and AI-driven businesses.
  • B. David Siegel
    David Siegel is an author known for writing the book "Escape."
  • C. David Siegel
    David Siegel is a film editor known for his work on major Hollywood productions, including the 1998 remake of "Godzilla."
  • D. David Siegel
    David Siegel is a music producer known for his work on various pop and electronic recordings, including the track "Escape."
  • E. David Seidner
    David Seidner was an American fashion and portrait photographer known for his elegant, art-inspired imagery and collaborations with major designers and cultural institutions.
  • 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1738bc81909a7b761ddbaa1883 completed April 29, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf57c8088190bd78e9e6b99ddb46 completed May 19, 2026, 10:08 p.m.
NEDg Description generation batch_6a0ce35a16a08190969f6811be7e471c completed May 19, 2026, 10:25 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce4d4321c8190af0fe04f728c4f67 completed May 19, 2026, 10:31 p.m.
Created at: April 17, 2026, 6:10 p.m.