Triple

T3287871
Position Surface form Disambiguated ID Type / Status
Subject Weed Road Pictures E69027 entity
Predicate notableWork P4 FINISHED
Object Fringe E85539 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: Fringe | Statement: [Weed Road Pictures, notableWork, Fringe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fringe
Context triple: [Weed Road Pictures, notableWork, Fringe]
  • A. Fringe chosen
    Fringe is a science fiction television series that blends procedural investigation with complex mythology involving parallel universes, fringe science, and conspiracies.
  • B. Warehouse 13
    Warehouse 13 is a science fiction television series that follows a secret government team tasked with retrieving and safeguarding dangerous supernatural artifacts.
  • C. The X-Files
    The X-Files is a science fiction television series that follows FBI agents investigating paranormal phenomena, blending conspiracy-driven mythology with standalone supernatural cases.
  • D. FlashForward
    FlashForward is a science fiction television series that explores the aftermath of a mysterious global blackout during which people glimpse visions of their future.
  • E. Bones
    Bones is the nickname of Bones McKinney, a notable American basketball player and coach from the mid-20th century.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb058e00881908fdf0a23208860d4 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85f71508190b194b4d383d7ee32 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.