Triple

T8244676
Position Surface form Disambiguated ID Type / Status
Subject Battleground (segment of Nightmares & Dreamscapes TV series) E192820 entity
Predicate originalNetwork P2594 FINISHED
Object TNT E3614 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: TNT | Statement: [Battleground (segment of Nightmares & Dreamscapes TV series), originalNetwork, TNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TNT
Context triple: [Battleground (segment of Nightmares & Dreamscapes TV series), originalNetwork, TNT]
  • A. TNT chosen
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • B. TNT
    TNT is France's digital terrestrial television platform that broadcasts multiple free-to-air channels nationwide.
  • C. Tank
    Tank is a London-based art and fashion magazine known for its independent, avant-garde editorial approach and collaborations with experimental cultural projects.
  • D. Tank
    Tank is a German aeronautical engineer best known for designing the Focke-Wulf Fw 190 fighter aircraft used by the Luftwaffe during World War II.
  • E. Nuke
    Nuke is the brash, hard-throwing rookie pitcher from the baseball film "Bull Durham," known for his wild talent and colorful personality.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78711f5081909c2f357334491a07 completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd352b1a288190bd13ef84bef7fa1c completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:47 p.m.