Triple

T13351120
Position Surface form Disambiguated ID Type / Status
Subject Daphne Blake E318070 entity
Predicate createdBy P806 FINISHED
Object Ken Spears E922995 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: Ken Spears | Statement: [Daphne Blake, createdBy, Ken Spears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Spears
Context triple: [Daphne Blake, createdBy, Ken Spears]
  • A. Ken Spears chosen
    Ken Spears was an American television writer and producer best known for co-creating the iconic animated mystery franchise "Scooby-Doo."
  • B. Scott Speer
    Scott Speer is an American film director, producer, and author best known for directing music videos and feature films such as "Step Up Revolution."
  • C. David Spradley
    David Spradley is an American songwriter and producer best known for his work in R&B and funk music, including contributions to hit songs like "So Many Tears."
  • D. Dan Sullivan
    Dan Sullivan is a Republican U.S. Senator from Alaska, known for his work on national security, energy policy, and Arctic issues.
  • E. Gary Hershberger
    Gary Hershberger is an American actor best known for his role as Mike Nelson on the television series "Twin Peaks."
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f47fd7c8190b8d98a181acd7710 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.