Triple

T9967582
Position Surface form Disambiguated ID Type / Status
Subject Neo E195723 entity
Predicate ally P4662 FINISHED
Object Morpheus E195724 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: Morpheus | Statement: [Neo, ally, Morpheus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morpheus
Context triple: [Neo, ally, Morpheus]
  • A. Morpheus chosen
    Morpheus is a key leader and mentor figure in The Matrix universe, known for guiding Neo and leading the human resistance against the machines.
  • B. Agent Smith
    Agent Smith is the primary antagonist of The Matrix franchise, a relentless, self-aware computer program that seeks to eradicate humanity and escape the control of the Matrix.
  • C. Daniel Quasar
    Daniel Quasar is a graphic designer best known for creating the Progress Pride Flag, an updated version of the rainbow flag that emphasizes inclusion and intersectionality within the LGBTQ+ community.
  • 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. R. Daneel Olivaw
    R. Daneel Olivaw is a highly advanced humanoid robot from Isaac Asimov’s Robot and Foundation series, known for his strict adherence to and later reinterpretation of the Three Laws of Robotics while subtly guiding human history.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71f9d7c8190ac02c53052c1c6ad completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23db701b881909bb986a32df4349b completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:47 p.m.