Triple

T2198354
Position Surface form Disambiguated ID Type / Status
Subject Casey Affleck E50429 entity
Predicate givenName P17 FINISHED
Object Casey E53172 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: Casey | Statement: [Casey Affleck, givenName, Casey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casey
Context triple: [Casey Affleck, givenName, Casey]
  • A. Casey chosen
    Casey is the given name of American actor and filmmaker Casey Affleck, known for his roles in films such as "Manchester by the Sea."
  • B. Cassidy
    "Cassidy" is a beloved Grateful Dead–associated song by Bob Weir, known for its intricate lyrics and fusion of folk, rock, and improvisational elements.
  • C. Skylar
    Skylar is a compassionate and intelligent Harvard student who becomes Will Hunting’s love interest in the film "Good Will Hunting."
  • D. Cameron
    Cameron is a common Scottish surname that has been borne by numerous notable figures, including former UK Prime Minister David Cameron.
  • E. Jesse
    Jesse is a figure in the Hebrew Bible best known as the father of King David and the ancestor from whose line the Davidic monarchy and, in Christian tradition, Jesus are said to descend.
  • 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_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.
Created at: March 4, 2026, 7:46 p.m.