Triple

T10828142
Position Surface form Disambiguated ID Type / Status
Subject Lambert E255544 entity
Predicate hasCognate P2525 FINISHED
Object Lambertus E886879 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: Lambertus | Statement: [Lambert, hasCognate, Lambertus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lambertus
Context triple: [Lambert, hasCognate, Lambertus]
  • A. Lambertus chosen
    Lambertus is a Latinized given name historically used in European contexts, particularly in religious and scholarly settings.
  • B. 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.”
  • C. Norbertus
    Norbertus is a Latinized form of the given name Norbert, historically used in ecclesiastical and scholarly contexts.
  • D. Laurentius
    Laurentius is a Latin given name historically borne by several early Christian saints and later adapted into various European forms such as Laurence and Lawrence.
  • E. Petrus
    Petrus is the Latin form of the name Peter, historically used in religious and classical contexts and serving as the root for various European given names.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d3eab88190b30a3025b6b2b0bc completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb1096cbc81908f3eda562c2da042 completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:19 p.m.