Triple

T19453797
Position Surface form Disambiguated ID Type / Status
Subject Carmen Cuba E486683 entity
Predicate notableWork P4 FINISHED
Object Logan NE NERFINISHED

How this triple was built (3 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: Logan | Statement: [Carmen Cuba, notableWork, Logan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Logan
Context triple: [Carmen Cuba, notableWork, Logan]
  • A. Logan
    Logan is a small village in eastern New Mexico, United States, known for its proximity to Ute Lake and its role as a local recreational and service hub in Quay County.
  • B. Logan
    Logan is a neighborhood in Wyoming, Ohio, that serves as the community surrounding the Wyoming train station.
  • C. Logan
    Logan is a city in northern Utah known for being home to Utah State University and for its scenic Cache Valley setting.
  • D. Logan
    Logan is a small village located within the council area of East Ayrshire in southwest Scotland.
  • E. Logan
    Logan is a residential neighborhood in North Philadelphia, Pennsylvania, known for its rowhouses and proximity to institutions like La Salle University.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Logan
Target entity description: Logan is a critically acclaimed 2017 superhero film in the X-Men franchise that follows an older, weary Wolverine on a violent, character-driven final journey.
  • A. Logan chosen
    Logan is a 2017 superhero film in the X-Men franchise that follows an aging Wolverine on a violent, character-driven road journey in a bleak near-future.
  • B. Logan
    Logan is a Marvel Comics antihero better known as Wolverine, a mutant with retractable claws and a powerful healing factor who was subjected to the Weapon X program.
  • C. Logan
    Logan is a Marvel Comics limited series written by Brian K. Vaughan that explores Wolverine’s past and emotional depth beyond traditional superhero action.
  • D. Logan
    Logan is a name commonly used as both a given name and surname in English-speaking countries.
  • E. Logan
    Logan was an 18th-century Mingo (Native American) leader known for his initial friendship with colonial settlers and his later famous speech lamenting the murder of his family during escalating frontier conflicts.
  • F. None of above.

Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6339407a08190a3e0213bfbb4df3d completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.