Triple

T19928621
Position Surface form Disambiguated ID Type / Status
Subject Ziba E478992 entity
Predicate informed P9 FINISHED
Object David NE NERFINISHED

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: David | Statement: [Ziba, informed, David]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David
Context triple: [Ziba, informed, David]
  • A. David
    David is the middle name of Dwight D. Eisenhower, the 34th president of the United States and Supreme Allied Commander in Europe during World War II.
  • B. David
    David was a Byzantine prince of the 7th century, known as one of the sons of Emperor Heraclius and a member of the Heraclian imperial dynasty.
  • C. David
    David is a major city in western Panama and the capital of Chiriquí Province.
  • D. David
    David is a common given name and surname of Hebrew origin, widely used across many cultures and historically associated with the biblical King David.
  • E. David
    David is the advanced android (synthetic) character from the Prometheus film in the Alien franchise, known for his eerie intelligence and ambiguous morality.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659cd4500819090363a4b7d6bf193 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.