Triple

T4029323
Position Surface form Disambiguated ID Type / Status
Subject The Lord President E83667 entity
Predicate notableOfficeHolder P5750 FINISHED
Object Romana E72441 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: Romana | Statement: [The Lord President, notableOfficeHolder, Romana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romana
Context triple: [The Lord President, notableOfficeHolder, Romana]
  • A. Romana chosen
    Romana is a highly intelligent and compassionate Time Lady from the Doctor Who universe who serves as one of the Doctor’s most capable and scholarly companions.
  • B. Rumuola
    Rumuola is a prominent urban neighborhood and transport hub in Port Harcourt, Rivers State, Nigeria.
  • C. Horahane Roma
    Horahane Roma are a subgroup of Roma people traditionally associated with Islam and found primarily in regions influenced by the former Ottoman Empire.
  • D. Ruoms
    Ruoms is a small commune in the Ardèche department of southern France, known for its scenic riverside setting and outdoor tourism.
  • E. Rromani
    Rromani refers to the Roma people, an ethnic group of traditionally itinerant communities with origins in the Indian subcontinent and a widespread presence across Europe and beyond.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaf066b08190afbb4a18ddc8d67e completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562948c9081909054a756794e8576 completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:36 p.m.