Triple

T9980380
Position Surface form Disambiguated ID Type / Status
Subject Full Throttle E196434 entity
Predicate hasShortStory P6847 FINISHED
Object Snapshot E725803 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: Snapshot | Statement: [Full Throttle, hasShortStory, Snapshot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snapshot
Context triple: [Full Throttle, hasShortStory, Snapshot]
  • A. Snapshot chosen
    "Snapshot" is a science fiction novella by Brandon Sanderson, set in a simulated reality used by detectives to investigate crimes.
  • B. Shot
    Shot is a 1996 noise rock album by American band The Jesus Lizard, noted for its aggressive sound and polished production.
  • C. Snap
    Snap is a technology and social media company best known for creating Snapchat and developing camera-focused hardware and augmented reality products.
  • D. Snap
    Snap is the superhero alias used by Marvel Comics character Sam Wilson, better known as the Falcon and the second Captain America.
  • E. Snap Camera
    Snap Camera is a desktop application by Snap Inc. that lets users apply Snapchat-style augmented reality lenses and filters to their webcam video for use in video calls and streaming.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8b9aca881908a9b5dfd7e0de4ba completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257df420881909edac01b4e331c1e completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:49 p.m.