Triple

T8639829
Position Surface form Disambiguated ID Type / Status
Subject Samuel Affleck E204617 entity
Predicate notableFamily P1481 FINISHED
Object Affleck family E242656 NE FINISHED

How this triple was built (2 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: Affleck family | Statement: [Samuel Affleck, notableFamily, Affleck family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Affleck family
Context triple: [Samuel Affleck, notableFamily, Affleck family]
  • A. Affleck family chosen
    The Affleck family is an American family best known for including actors Ben Affleck and Casey Affleck, prominent figures in contemporary film and television.
  • B. Barrymore family
    The Barrymore family is a prominent American acting dynasty spanning multiple generations of stage and screen performers.
  • C. Fonda family
    The Fonda family is a prominent American acting dynasty spanning multiple generations, including stars such as Henry, Jane, Peter, and Bridget Fonda.
  • D. Hathaway family
    The Hathaway family is a prominent local lineage recognized for its historical significance in the region surrounding the Hathaway Bridge.
  • E. Hanks family
    The Hanks family is an American show-business family best known for including acclaimed actor Tom Hanks and his relatives who have worked in film and entertainment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47650a14819094855aa8d062ebbc completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc340528819085c80b69d6d32a34 completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:28 p.m.