Triple

T14469602
Position Surface form Disambiguated ID Type / Status
Subject Gert Fröbe E358801 entity
Predicate givenName P17 FINISHED
Object Gerhart 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: Gerhart | Statement: [Gert Fröbe, givenName, Gerhart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerhart
Context triple: [Gert Fröbe, givenName, Gerhart]
  • A. Gerhardt
    Gerhardt is a German-origin surname borne by various individuals and families, often associated with Central European heritage.
  • B. Gerhard chosen
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • C. Gebhard
    Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
  • D. Georg-Hans
    Georg-Hans is the given name of Georg-Hans Reinhardt, a German general who served in the Wehrmacht during World War II.
  • E. Gottsched
    Gottsched was an 18th-century German literary critic and reformer whose rationalist poetics and efforts to standardize the German language significantly shaped early German Enlightenment literature.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f969788190a5114f92d7159aae completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd649beec88190861abb52c5a2733e completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.