Triple

T16056490
Position Surface form Disambiguated ID Type / Status
Subject Tusk E389493 entity
Predicate musicBy P1952 FINISHED
Object Christopher Drake E1025200 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: Christopher Drake | Statement: [Tusk, musicBy, Christopher Drake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Drake
Context triple: [Tusk, musicBy, Christopher Drake]
  • A. Christopher Drake chosen
    Christopher Drake is a film and television composer best known for his work on animated DC Comics projects, including multiple Batman and Justice League films.
  • B. Francis Drake
    Francis Drake was a 16th-century English sea captain, privateer, and navigator best known for circumnavigating the globe and raiding Spanish possessions during the Age of Exploration.
  • C. Humphrey Gilbert
    Humphrey Gilbert was a 16th-century English explorer, soldier, and colonial promoter best known for his early attempts to establish English colonies in North America.
  • D. Charles Drake
    Charles Drake was an American character actor known for his supporting roles in numerous films and television series from the 1940s through the 1970s.
  • E. Arthur Frobisher
    Arthur Frobisher is a wealthy, corrupt corporate executive and primary antagonist in the legal thriller TV series "Damages."
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837579488190964ca004c2eb01c4 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe49bd0819088e25de082184133 completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.