Triple

T16320521
Position Surface form Disambiguated ID Type / Status
Subject Stabler family E396278 entity
Predicate foundedBy P104 FINISHED
Object Edward Stabler E416019 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: Edward Stabler | Statement: [Stabler family, foundedBy, Edward Stabler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Stabler
Context triple: [Stabler family, foundedBy, Edward Stabler]
  • A. Edward Stabler chosen
    Edward Stabler was a 19th-century Quaker pharmacist and businessman best known for establishing the apothecary that later became the Stabler–Leadbeater Apothecary Museum in Alexandria, Virginia.
  • B. C. Ray Stahl
    C. Ray Stahl was the husband of American actress Martha Hyer.
  • C. Stephen Stucker
    Stephen Stucker was an American comic actor best known for his flamboyant, scene-stealing role as air traffic controller Johnny in the parody film "Airplane!".
  • D. Howard Stambler
    Howard Stambler is a paranoid survivalist and doomsday prepper who serves as the menacing, morally ambiguous antagonist in the psychological thriller film "10 Cloverfield Lane."
  • E. Richard Stolley
    Richard Stolley was an influential American magazine editor best known for shaping modern celebrity journalism as the founding managing editor of People magazine.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b5f0f081909a5379deaf0df5d5 completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da6e6e08190a20cc51699e12dbc completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:06 a.m.