Triple

T16203930
Position Surface form Disambiguated ID Type / Status
Subject Rosa Salazar E393271 entity
Predicate portrayedCharacter P1668 FINISHED
Object Alita E1107631 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: Alita | Statement: [Rosa Salazar, portrayedCharacter, Alita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alita
Context triple: [Rosa Salazar, portrayedCharacter, Alita]
  • A. Alita chosen
    Alita is the cyborg warrior heroine of the cyberpunk manga and film "Alita: Battle Angel," known for her powerful combat abilities and quest for identity in a dystopian future.
  • B. Alita: Battle Angel
    Alita: Battle Angel is a 2019 cyberpunk action film, produced by James Cameron and directed by Robert Rodriguez, that adapts Yukito Kishiro’s manga about a powerful cyborg girl navigating a dystopian future.
  • C. Cyborg
    Cyborg is a 1973 electronic music album by German composer Klaus Schulze, known for its expansive, experimental soundscapes that helped define early ambient and space music.
  • D. Cyborg
    Cyborg is a prominent DC Comics superhero, best known as a technologically enhanced human and key member of teams like the Teen Titans and the Justice League.
  • E. Aelita
    Aelita is a pioneering early Soviet science fiction novel by Alexei Tolstoy that tells the story of a journey to Mars and a revolutionary uprising there.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270ca18c8190a259992aed4ec072 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ecf454081909660f4ab9c556ddc completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.