Triple

T10676957
Position Surface form Disambiguated ID Type / Status
Subject 8 Million Ways to Die E251644 entity
Predicate starring P1507 FINISHED
Object Alexandra Paul E875879 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: Alexandra Paul | Statement: [8 Million Ways to Die, starring, Alexandra Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandra Paul
Context triple: [8 Million Ways to Die, starring, Alexandra Paul]
  • A. Alexandra Paul chosen
    Alexandra Paul is an American actress best known for her role as Lt. Stephanie Holden on the television series "Baywatch."
  • B. Alexandra Richards
    Alexandra Richards is an American model and artist, best known as the daughter of Rolling Stones guitarist Keith Richards and actress Patti Hansen.
  • C. Alexandra Rubenstein
    Alexandra Rubenstein is one of the daughters of American billionaire investor and philanthropist David M. Rubenstein.
  • D. Alexandra Cunningham
    Alexandra Cunningham is an American television writer and producer best known for her work on series such as "Desperate Housewives" and for creating the crime drama "Dirty John."
  • E. Alexandra Holden
    Alexandra Holden is an American actress known for her roles in films like "Drop Dead Gorgeous" and appearances on television series such as "Friends" and "Ally McBeal."
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb9563908190a69cf4bd2c24fd2f completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9887e974c81908c4943339ea9a93f completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:09 p.m.