Triple

T2198375
Position Surface form Disambiguated ID Type / Status
Subject Casey Affleck E50429 entity
Predicate parent P120 FINISHED
Object Timothy Byers Affleck
Timothy Byers Affleck is an American social worker and former actor best known as the father of actors Ben Affleck and Casey Affleck.
E242651 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: Timothy Byers Affleck | Statement: [Casey Affleck, parent, Timothy Byers Affleck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy Byers Affleck
Context triple: [Casey Affleck, parent, Timothy Byers Affleck]
  • A. Nicholas Knisely
    Nicholas Knisely is an American Episcopal bishop and former physicist who serves as the diocesan leader of the Episcopal Church in Rhode Island.
  • B. Jonathan Byers
    Jonathan Byers is a quiet, introspective teenager and aspiring photographer from the Byers family in the supernatural horror series "Stranger Things."
  • C. Timothy Edwards
    Timothy Edwards was a colonial New England Congregational minister and scholar, best known as the father of theologian Jonathan Edwards.
  • D. Andrew Dunn
    Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
  • E. Samuel Affleck
    Samuel Affleck is the youngest child of American actor and filmmaker Ben Affleck and actress Jennifer Garner.
  • 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: Timothy Byers Affleck
Triple: [Casey Affleck, parent, Timothy Byers Affleck]
Generated description
Timothy Byers Affleck is an American social worker and former actor best known as the father of actors Ben Affleck and Casey Affleck.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Timothy Byers Affleck
Target entity description: Timothy Byers Affleck is an American social worker and former actor best known as the father of actors Ben Affleck and Casey Affleck.
  • A. Nicholas Knisely
    Nicholas Knisely is an American Episcopal bishop and former physicist who serves as the diocesan leader of the Episcopal Church in Rhode Island.
  • B. Jonathan Byers
    Jonathan Byers is a quiet, introspective teenager and aspiring photographer from the Byers family in the supernatural horror series "Stranger Things."
  • C. Timothy Edwards
    Timothy Edwards was a colonial New England Congregational minister and scholar, best known as the father of theologian Jonathan Edwards.
  • D. Andrew Dunn
    Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
  • E. Samuel Affleck
    Samuel Affleck is the youngest child of American actor and filmmaker Ben Affleck and actress Jennifer Garner.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf7b65cc8190bcc5a5c52b90f33b completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5db9b0208190a63a75c86ea9dcff completed March 9, 2026, 5:42 a.m.
NEDg Description generation batch_69ae5e866d108190b39853172d1ed1a6 completed March 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae5edfe80481908c3304c917c9065b completed March 9, 2026, 5:47 a.m.
Created at: March 4, 2026, 7:46 p.m.