Triple

T12300725
Position Surface form Disambiguated ID Type / Status
Subject John O. Rankin E293212 entity
Predicate hasNotableWorkOn P21402 FINISHED
Object Unami syntax E75801 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: Unami syntax | Statement: [John O. Rankin, hasNotableWorkOn, Unami syntax]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unami syntax
Context triple: [John O. Rankin, hasNotableWorkOn, Unami syntax]
  • A. Unami chosen
    Unami is a dialect of the Lenape (Delaware) language historically spoken by the Lenape people in parts of the mid-Atlantic region of North America.
  • B. UNAMI
    UNAMI is a United Nations political mission established to support Iraq’s political transition, reconciliation, and reconstruction efforts.
  • C. UMI
    UMI is the three-letter ISO 3166-1 alpha-3 country code assigned to Kingman Reef, an uninhabited U.S. territory in the central Pacific Ocean.
  • D. UNOMIG
    UNOMIG was a United Nations peacekeeping mission established to monitor the ceasefire and support conflict resolution efforts in the Georgian–Abkhaz conflict.
  • E. UMAC
    UMAC is a high-speed, universal hash-based message authentication code designed for efficient and secure data integrity verification in modern cryptographic systems.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93edb59908190bcef9d0cdc11081f completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7d757881908ac6af2b70a6dafe completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.