Triple

T2827176
Position Surface form Disambiguated ID Type / Status
Subject Gerhard E54950 entity
Predicate hasShortForm P43 FINISHED
Object Gerd E44323 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: Gerd | Statement: [Gerhard, hasShortForm, Gerd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerd
Context triple: [Gerhard, hasShortForm, Gerd]
  • A. Gerd chosen
    Gerd is a masculine given name of German origin, commonly used in German-speaking countries.
  • B. Trioditis
    Trioditis is an epithet of the Greek goddess Hecate that emphasizes her association with crossroads and liminal spaces.
  • C. Gaulanitis
    Gaulanitis was an ancient region east of the Sea of Galilee, historically associated with the Golan area and mentioned in classical and biblical sources.
  • D. Gall
    Gall was a prominent 19th-century Hunkpapa Lakota war leader known for his key role in the Battle of the Little Bighorn alongside Sitting Bull and Crazy Horse.
  • E. Germoe
    Germoe is a small rural village and civil parish in west Cornwall, England, known for its historic church and scenic countryside near the coast.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde95d8148190bcae8b0659a5c116 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceb20c508190ba87e102ba250a00 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.