Triple

T13635847
Position Surface form Disambiguated ID Type / Status
Subject Taira clan E325846 entity
Predicate alternativeName P39 FINISHED
Object Heike E253255 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: Heike | Statement: [Taira clan, alternativeName, Heike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heike
Context triple: [Taira clan, alternativeName, Heike]
  • A. Heike chosen
    Heike is a feminine given name of German origin, commonly used in German-speaking countries.
  • B. Shige
    Shige is a given name, notably used by the Chinese mathematician Peng Shige, recognized for his contributions to probability theory and stochastic analysis.
  • C. Saigō-no-Tsubone
    Saigō-no-Tsubone was a prominent Japanese noblewoman and concubine of Tokugawa Ieyasu who became an influential figure in the early Edo period through her role in the Tokugawa shogunate.
  • D. Genshō
    Genshō was an 8th-century Japanese empress who ruled during the Nara period and is known for continuing the centralizing reforms of her predecessors.
  • E. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a616dc81908b8c1213e1d4beed completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78aef6fd08190b209a94b9ddd024c completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.