Triple

T17896640
Position Surface form Disambiguated ID Type / Status
Subject Cassandra Cain E447446 entity
Predicate associatedWith P37 FINISHED
Object Oracle E858970 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: Oracle | Statement: [Cassandra Cain, associatedWith, Oracle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oracle
Context triple: [Cassandra Cain, associatedWith, Oracle]
  • A. Oracle
    "Oracle" is a popular electronic dance music track by Australian DJ and producer Timmy Trumpet, known for its energetic festival sound and heavy drops.
  • B. Oracle chosen
    Oracle is the codename of Barbara Gordon, a former Batgirl who becomes Batman’s expert hacker and information broker after being paralyzed by the Joker.
  • C. Oracle
    "Oracle" is a science fiction novel by British author Ian Watson, known for its imaginative exploration of advanced technology and human consciousness.
  • D. Oracle Database
    Oracle Database is a widely used enterprise relational database management system known for its scalability, reliability, and robust support for complex data workloads.
  • E. Oracle Developer Suite
    Oracle Developer Suite is an integrated set of Oracle tools for building, deploying, and managing database-centric applications, including forms, reports, and business intelligence components.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d8045748190a4e8c4684439a96b completed April 19, 2026, 9:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0321271ebc8190ba244c524c57a6b3 completed May 12, 2026, 12:46 p.m.
Created at: April 10, 2026, 10:19 a.m.