Triple

T11667528
Position Surface form Disambiguated ID Type / Status
Subject William Witney E277290 entity
Predicate notableWork P4 FINISHED
Object Trigger, Jr. E57933 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: Trigger, Jr. | Statement: [William Witney, notableWork, Trigger, Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trigger, Jr.
Context triple: [William Witney, notableWork, Trigger, Jr.]
  • A. Trigger, Jr. chosen
    Trigger, Jr. is the famous palomino horse that appeared alongside American singing cowboy Roy Rogers in numerous Western films and performances.
  • B. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • C. Jobu
    Jobu is the fictional voodoo deity that baseball player Pedro Cerrano prays to for help with his hitting in the film "Major League."
  • D. Johnny Thunder
    Johnny Thunder is a Golden Age DC Comics superhero best known for commanding a magical thunderbolt and serving as a long-time member of the Justice Society of America.
  • E. Paulie Bleeker
    Paulie Bleeker is a shy, sweet-natured high school track athlete and the awkward love interest of the title character in the film "Juno."
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a440d8a481909a13c97813408bc8 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13b36ae4819096e6dfca23a69250 completed April 27, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:39 p.m.