Triple

T3471459
Position Surface form Disambiguated ID Type / Status
Subject Albrecht E73267 entity
Predicate hasCognate P2525 FINISHED
Object Albertus E85847 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: Albertus | Statement: [Albrecht, hasCognate, Albertus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albertus
Context triple: [Albrecht, hasCognate, Albertus]
  • A. Albertus chosen
    Albertus is a masculine given name of Latin origin, commonly used in Dutch and German-speaking regions.
  • B. Renatus of Rome
    Renatus of Rome was a 5th-century Roman cleric who served as a papal legate representing the authority of the bishop of Rome in major ecclesiastical affairs.
  • C. Marianus
    Marianus is a Latin personal name, historically used in the Roman world and later in various European cultures, derived from the root name Marian.
  • D. Gerhardus
    Gerhardus is a masculine given name of Germanic origin, closely related to names like Gerhard and Gerard, typically meaning “strong with the spear” or “brave with the spear.”
  • E. Reinhold
    Reinhold is the given first name of Reince Priebus, the American attorney and former White House Chief of Staff under President Donald Trump.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3af0cc81909e575828caeaeae0 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36810958c81908982e0ef996dc480 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.