Triple

T12628457
Position Surface form Disambiguated ID Type / Status
Subject Girard E301577 entity
Predicate hasVariant P455 FINISHED
Object Gerhard E54950 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: Gerhard | Statement: [Girard, hasVariant, Gerhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerhard
Context triple: [Girard, hasVariant, Gerhard]
  • A. Gerhard chosen
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • B. Wilhelm
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • C. Lothar
    Lothar is a masculine given name of Germanic origin, historically borne by various European nobles, military figures, and notable individuals.
  • D. Nikolaus
    Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
  • E. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610ce9e48190a496824002c0d2be completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb2a1088190974e9736873466d1 completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 5:15 p.m.