Triple

T12746022
Position Surface form Disambiguated ID Type / Status
Subject Roland Petit E304605 entity
Predicate givenName P17 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: [Roland Petit, givenName, Roland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roland
Context triple: [Roland Petit, givenName, 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. Gilgamesh Wulfenbach
    Gilgamesh Wulfenbach is a central character in the steampunk webcomic "Girl Genius," known as the heir to the powerful Wulfenbach Empire and a skilled, morally conflicted Spark.
  • E. Soult
    Soult is a French surname most famously associated with Nicolas Jean-de-Dieu Soult, a prominent marshal of France under Napoleon.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd42fe08190a85467b1a998d2af completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c94265481908ace9cac757df890 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.