Triple

T7494672
Position Surface form Disambiguated ID Type / Status
Subject Tron E177092 entity
Predicate sequelFilm P1961 FINISHED
Object Tron: Legacy E180055 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: Tron: Legacy | Statement: [Tron, sequelFilm, Tron: Legacy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tron: Legacy
Context triple: [Tron, sequelFilm, Tron: Legacy]
  • A. Tron: Legacy chosen
    Tron: Legacy is a 2010 science-fiction film that continues the story of the original Tron with cutting-edge visual effects and a distinctive electronic score by Daft Punk.
  • B. Tron
    Tron is a pioneering 1982 science fiction film known for its groundbreaking use of computer-generated imagery and its story about a programmer drawn into a digital world inside a computer system.
  • C. Tronzilla
    Tronzilla is a music producer best known for crafting hard-hitting, high-energy tracks in the electronic and hip-hop scenes.
  • D. Ready Player One
    Ready Player One is a science fiction adventure film, based on Ernest Cline’s novel, that explores a high-stakes virtual reality treasure hunt in a dystopian future.
  • E. Tronador
    Tronador is a prominent, glacier-covered stratovolcano in the Andes on the border between Argentina and Chile, known for its dramatic scenery and popular mountaineering routes.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f57b5b4c8190ab839e6a98ee86ed completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c846043ed48190b6fa45ed0e70b4d3 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:43 p.m.