Triple

T514284
Position Surface form Disambiguated ID Type / Status
Subject G. W. F. Hegel E10672 entity
Predicate givenName P17 FINISHED
Object Georg E56084 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: Georg | Statement: [G. W. F. Hegel, givenName, Georg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georg
Context triple: [G. W. F. Hegel, givenName, Georg]
  • A. Georg chosen
    Georg is the given first name of the renowned German mathematician Bernhard Riemann.
  • B. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • C. Ludwig
    Ludwig is a masculine given name of Germanic origin, historically associated with nobility and rulers and used in various forms across many European languages.
  • D. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • E. Wilhelm
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1824a248190808591ab3ece7dff completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518bfaed48190b03343e0a4a85c89 completed March 2, 2026, 4:57 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.