Triple

T9090145
Position Surface form Disambiguated ID Type / Status
Subject Kate Beahan E217858 entity
Predicate actedIn P1668 FINISHED
Object Crownies E777633 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: Crownies | Statement: [Kate Beahan, actedIn, Crownies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crownies
Context triple: [Kate Beahan, actedIn, Crownies]
  • A. Crownies chosen
    Crownies is an Australian legal drama television series that follows a group of young solicitors working in the Office of the Director of Public Prosecutions.
  • B. Crown
    Crown is a major American publishing imprint of Penguin Random House known for releasing high-profile nonfiction and bestselling works by prominent public figures.
  • C. Crown
    Crown is a prominent American business family name associated with influential industrialist and investor Lester Crown.
  • D. Crown
    The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
  • E. White Crown
    The White Crown was the ancient Egyptian royal headdress symbolizing the kingship of Upper Egypt before and after its unification with Lower Egypt.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965971f88190acffbf204c11832b completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03007ed908190afd34cf3f32312e9 completed April 3, 2026, 9:24 p.m.
Created at: March 30, 2026, 7:14 p.m.