Triple

T23268821
Position Surface form Disambiguated ID Type / Status
Subject The Perfect Host E588233 entity
Predicate starring P1507 FINISHED
Object Nathaniel Parker NE NERFINISHED

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: Nathaniel Parker | Statement: [The Perfect Host, starring, Nathaniel Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathaniel Parker
Context triple: [The Perfect Host, starring, Nathaniel Parker]
  • A. Nathaniel Parker chosen
    Nathaniel Parker is an English actor known for his work in film, television, and theatre, including roles in adaptations of classic literature and popular detective dramas.
  • B. Nathaniel Burke
    Nathaniel Burke is the primary villain in the 1997 superhero film "Steel," serving as the main adversary to the armored hero John Henry Irons.
  • C. Nathaniel Russell
    Nathaniel Russell was a wealthy early 19th-century Charleston merchant and slave trader whose prominence is reflected in the grand Federal-style mansion that bears his name.
  • D. Nathaniel Wilson
    Nathaniel Wilson is a daemon character in Deborah Harkness’s All Souls Trilogy, notably appearing in the novel "A Discovery of Witches."
  • E. Nathaniel Beverley Tucker
    Nathaniel Beverley Tucker was a 19th-century American jurist, law professor, and pro-slavery novelist associated with the Southern literary tradition.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1957219188190b30bceffad1542da completed April 29, 2026, 5:21 a.m.
Created at: April 17, 2026, 4:44 p.m.