Triple

T16164329
Position Surface form Disambiguated ID Type / Status
Subject May Day E392262 entity
Predicate affiliation P10 FINISHED
Object Max Zorin E398003 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: Max Zorin | Statement: [May Day, affiliation, Max Zorin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Zorin
Context triple: [May Day, affiliation, Max Zorin]
  • A. Max Zorin chosen
    Max Zorin is the main villain in the James Bond film "A View to a Kill," a ruthless industrialist plotting to destroy Silicon Valley for financial gain.
  • B. Valerian Zorin
    Valerian Zorin was a Soviet diplomat and politician best known for his defiant role as the USSR’s representative to the United Nations during the Cold War.
  • C. Victor Argo
    Victor Argo was an American character actor known for his frequent collaborations with directors like Martin Scorsese and Abel Ferrara, often portraying tough, streetwise New Yorkers in crime and drama films.
  • D. Leon Zat
    Leon Zat is the troubled Sydney detective at the center of the Australian film "Lantana," whose personal and professional crises drive the story’s intertwined mysteries and relationships.
  • E. Ben Decter
    Ben Decter is a television and film composer known for scoring series such as the action-comedy drama "Lethal Weapon."
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e622ae481909f3cf25b38886d3a completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b69adc8190ba90d68acaaca509 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.