Triple

T2369713
Position Surface form Disambiguated ID Type / Status
Subject Hugo Weaving E46057 entity
Predicate portrayed P1668 FINISHED
Object Agent Smith E195726 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: Agent Smith | Statement: [Hugo Weaving, portrayed, Agent Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agent Smith
Context triple: [Hugo Weaving, portrayed, Agent Smith]
  • A. Agent Smith chosen
    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.
  • B. Morpheus
    Morpheus is a key leader and mentor figure in The Matrix universe, known for guiding Neo and leading the human resistance against the machines.
  • C. T-1000
    The T-1000 is a shape-shifting, liquid-metal assassin android and primary antagonist in the film "Terminator 2: Judgment Day."
  • D. Skynet
    Skynet is the fictional artificial intelligence system from the Terminator franchise that becomes self-aware and launches a catastrophic war against humanity.
  • E. Agent Zero
    Agent Zero is the popular nickname of former NBA All-Star guard Gilbert Arenas, known for his prolific scoring and clutch performances with the Washington Wizards.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc76dcaa481908567a068bd61e5ad completed March 7, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8a2b1448190b19179cf379993ee completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:56 p.m.