Triple

T6167676
Position Surface form Disambiguated ID Type / Status
Subject Erle Stanley Gardner E137609 entity
Predicate familyName P18 FINISHED
Object Gardner E39619 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: Gardner | Statement: [Erle Stanley Gardner, familyName, Gardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gardner
Context triple: [Erle Stanley Gardner, familyName, Gardner]
  • A. Gardner chosen
    Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
  • B. Gardner James
    Gardner James was an American film actor active during the silent and early sound eras, known for supporting roles in adventure and drama films.
  • C. Gideon Gartner
    Gideon Gartner was an influential technology analyst and entrepreneur best known for founding the global research and advisory firm Gartner Inc.
  • D. Orson
    Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
  • E. Thagard
    Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
  • 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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d647ae48190a1db07b4f4a06e67 completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141a3ea6c81908847998960c9d0eb completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.