Triple

T7087381
Position Surface form Disambiguated ID Type / Status
Subject Ali Sami Yen E165109 entity
Predicate familyName P18 FINISHED
Object Yen E385766 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: Yen | Statement: [Ali Sami Yen, familyName, Yen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yen
Context triple: [Ali Sami Yen, familyName, Yen]
  • A. Yen chosen
    Yen is a nimble and acrobatic member of Danny Ocean’s heist crew in the Ocean’s film series, renowned for his contortionist skills.
  • B. Japanese yen
    The Japanese yen is Japan's official fiat currency and one of the world's most traded reserve currencies in global foreign exchange markets.
  • C. Yuan
    Yuan is a common Chinese surname with historical roots and notable bearers in business, politics, and the arts.
  • D. Chinese yuan
    The Chinese yuan is the official currency of the People's Republic of China and one of the world's major reserve and trading currencies.
  • E. Indonesian rupiah
    The Indonesian rupiah is the official currency of Indonesia, known for experiencing severe devaluation during the late-1990s Asian financial crisis.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e513d9b08190a8a8d213c2264ce4 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c794888abc8190ada2ae826449745a completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:41 p.m.