Triple

T5692678
Position Surface form Disambiguated ID Type / Status
Subject Jared Leto E125462 entity
Predicate notableWork P4 FINISHED
Object Morbius E378102 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: Morbius | Statement: [Jared Leto, notableWork, Morbius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morbius
Context triple: [Jared Leto, notableWork, Morbius]
  • A. Morbius chosen
    Morbius is a 2022 superhero horror film based on the Marvel Comics character, following biochemist Dr. Michael Morbius as he transforms into a living vampire after attempting to cure his rare blood disease.
  • B. Venom
    "Venom" is a solo hip-hop album by Wu-Tang Clan member U-God, showcasing his gritty lyrical style and distinctive voice.
  • C. Venom
    Venom is a 2018 superhero film based on the Marvel Comics character, following journalist Eddie Brock as he bonds with an alien symbiote that grants him powerful but dangerous abilities.
  • D. Mysterio
    Mysterio is a classic Spider-Man supervillain known for using illusions, special effects, and deception to battle the hero.
  • E. Moon Knight
    Moon Knight is a Marvel Comics vigilante and former mercenary empowered by the Egyptian moon god Khonshu, known for his multiple identities and brutal crime-fighting methods.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e678c48190824d35d276985311 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4f2bfc8190bc56c094f9ae9ce1 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.