Triple

T18662897
Position Surface form Disambiguated ID Type / Status
Subject Scully E456246 entity
Predicate name P16 FINISHED
Object Scully 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: Scully | Statement: [Scully, name, Scully]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scully
Context triple: [Scully, name, Scully]
  • A. Scully chosen
    Scully is a surname most famously associated with Vin Scully, the legendary American sportscaster known for his long tenure as the voice of the Los Angeles Dodgers.
  • B. Scully
    Scully is the Irish-American hotel proprietor in Stephen Crane’s short story “The Blue Hotel,” known for his attempts to maintain order among his volatile guests.
  • C. Scully
    Scully is a bumbling yet endearing NYPD detective from the sitcom "Brooklyn Nine-Nine," often involved in the squad’s comedic antics and elaborate Halloween Heists.
  • D. Dana Scully
    Dana Scully is a skeptical FBI agent and medical doctor who investigates paranormal cases alongside Fox Mulder in the science fiction television series The X-Files.
  • E. Jane Tennison
    Jane Tennison is a pioneering, hard-driving British detective chief inspector whose battles against sexism and personal demons anchor the crime drama series "Prime Suspect."
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5508c0d088190bef46fb3a3001f10 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.