Triple

T10384593
Position Surface form Disambiguated ID Type / Status
Subject Hyacinthe-Gabrielle Roland E244726 entity
Predicate hasFamilyName P18 FINISHED
Object Roland E121395 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: Roland | Statement: [Hyacinthe-Gabrielle Roland, hasFamilyName, Roland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roland
Context triple: [Hyacinthe-Gabrielle Roland, hasFamilyName, Roland]
  • A. Roland chosen
    Roland is a masculine given name of Germanic origin, historically associated with the legendary Frankish hero of "The Song of Roland" and later borne by various notable figures.
  • B. Rolland
    Rolland is a given name and surname, most commonly recognized as a variant spelling of Roland used in various European and English-speaking contexts.
  • C. Karle
    Karle is a surname most notably associated with Jerome Karle, the American physical chemist and Nobel Prize laureate.
  • D. Soult
    Soult is a French surname most famously associated with Nicolas Jean-de-Dieu Soult, a prominent marshal of France under Napoleon.
  • E. Cid
    Cid is a Trandoshan information broker and former Jedi informant who runs a seedy parlor on Ord Mantell and frequently hires Clone Force 99 for mercenary missions in Star Wars: The Bad Batch.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9a35fb08190ab85b4a8f8dea511 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795a30a008190a42db2eda3b5dca2 completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:04 p.m.