Triple

T8963397
Position Surface form Disambiguated ID Type / Status
Subject Samuel Gardner E214064 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: [Samuel Gardner, familyName, Gardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gardner
Context triple: [Samuel 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc674b06f08190b2d992674a093592 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9512eec8190963aa68108691f7f completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:01 p.m.