Triple

T19629162
Position Surface form Disambiguated ID Type / Status
Subject Resident Alien E471218 entity
Predicate creator P184 FINISHED
Object Chris Sheridan 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: Chris Sheridan | Statement: [Resident Alien, creator, Chris Sheridan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Sheridan
Context triple: [Resident Alien, creator, Chris Sheridan]
  • A. Chris Sheridan chosen
    Chris Sheridan is an American television writer and producer best known for his long-running work on the animated series "Family Guy."
  • B. Chris Donlon
    Chris Donlon is a film editor known for his work on the feature film "Kicks."
  • C. Dave Sheridan
    Dave Sheridan is an American actor and comedian best known for his role as the bumbling Officer Doofy in the parody film "Scary Movie."
  • D. Michael Colleary
    Michael Colleary is an American screenwriter and producer best known for co-writing the action film "Face/Off" and working on various Hollywood genre movies and television projects.
  • E. Ian Donnelly
    Ian Donnelly is a theoretical physicist and linguist who serves as one of the central human protagonists in the science fiction film "Arrival," working alongside Louise Banks to communicate with extraterrestrial visitors.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64101a0448190ba19f8917ae85dd6 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.