Triple

T2625184
Position Surface form Disambiguated ID Type / Status
Subject Gabe E59100 entity
Predicate spellingVariantOf P457 FINISHED
Object Gabe (no common variants) E59100 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: Gabe (no common variants) | Statement: [Gabe, spellingVariantOf, Gabe (no common variants)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabe (no common variants)
Context triple: [Gabe, spellingVariantOf, Gabe (no common variants)]
  • A. Gabe chosen
    Gabe is a common shortened form of the given name Gabriel, often used as a casual or familiar nickname.
  • B. GAB
    GAB is the three-letter ISO 3166-1 alpha-3 country code assigned to Gabon.
  • C. Gabbs
    Gabbs is a small, remote town in central Nevada known historically for its mining activities and desert surroundings.
  • D. GABI
    GABI is a major paleontological event during which land and freshwater animals migrated between North and South America after the formation of the Isthmus of Panama, dramatically reshaping the continents’ ecosystems.
  • E. Gabi
    Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b061a08190b7a8459851abaae2 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af909e02d0819082377681f4376531 completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.