Triple

T18351242
Position Surface form Disambiguated ID Type / Status
Subject Dance Dance Dance E439670 entity
Predicate centralCharacter P9202 FINISHED
Object Gotanda 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: Gotanda | Statement: [Dance Dance Dance, centralCharacter, Gotanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gotanda
Context triple: [Dance Dance Dance, centralCharacter, Gotanda]
  • A. Gotanda chosen
    Gotanda is a bustling commercial and entertainment district in Tokyo known for its offices, shopping, and nightlife, located within Shinagawa Ward.
  • B. Moru
    Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
  • C. Uraga
    Uraga is a historic Japanese port town at the entrance of Tokyo Bay that served as a key naval and shipbuilding center, especially during the late Edo period.
  • D. Hatta
    Hatta is an Indonesian surname most prominently associated with Mohammad Hatta, the country’s first vice president and a leading figure in the struggle for independence.
  • E. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f83b648190b473cf611851c666 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.