Triple

T3310827
Position Surface form Disambiguated ID Type / Status
Subject Lance Reddick E69566 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: [Lance Reddick, notableWork, Fringe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fringe
Context triple: [Lance Reddick, 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ec80508190baa78435b983b7b5 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3f0d52081908bbade5e514f17d1 completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.