Triple

T6074425
Position Surface form Disambiguated ID Type / Status
Subject Dana E135363 entity
Predicate hasNotableBearer P458 FINISHED
Object Dana Scully E396174 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: Dana Scully | Statement: [Dana, hasNotableBearer, Dana Scully]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana Scully
Context triple: [Dana, hasNotableBearer, Dana Scully]
  • A. Dana Scully chosen
    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.
  • B. Scully
    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.
  • C. 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.
  • D. Claire Temple
    Claire Temple is a compassionate and resourceful nurse in the Marvel universe who frequently aids street-level heroes like Daredevil and Luke Cage, often serving as a crucial moral and medical support.
  • E. Sara Sidle
    Sara Sidle is a forensic scientist and key member of the Las Vegas crime lab team in the television series "CSI: Crime Scene Investigation."
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575d4ed481908eddc88e9b90e22f completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d3fb99481909cc31c179eb4e8c9 completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:11 p.m.