Triple

T10717469
Position Surface form Disambiguated ID Type / Status
Subject Elastic Love E252714 entity
Predicate album P1995 FINISHED
Object Bionic E51470 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: Bionic | Statement: [Elastic Love, album, Bionic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bionic
Context triple: [Elastic Love, album, Bionic]
  • A. Bionic (album) chosen
    Bionic is a 2010 studio album by American singer Christina Aguilera that blends pop, electronic, and R&B influences with futuristic, experimental production.
  • B. 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.
  • C. Singularity
    Singularity is a science-fiction first-person shooter video game developed by Raven Software that blends time-manipulation mechanics with action and horror elements.
  • D. The Machine
    The Machine is the nickname of Albert Pujols, a Dominican-American former Major League Baseball first baseman renowned for his remarkably consistent and powerful hitting.
  • E. The Machine
    The Machine is a powerful, clandestine artificial superintelligence from the TV series "Person of Interest" that predicts violent crimes by analyzing global surveillance data.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3566e88190b5c0c6d1b159dd45 completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff777c63c8190a989d33e8460bc2f completed April 15, 2026, 8:39 p.m.
Created at: April 8, 2026, 9:13 p.m.