Triple

T8242941
Position Surface form Disambiguated ID Type / Status
Subject Roland Deschain E192778 entity
Predicate enemy P4567 FINISHED
Object The Man in Black E192784 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: The Man in Black | Statement: [Roland Deschain, enemy, The Man in Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Man in Black
Context triple: [Roland Deschain, enemy, The Man in Black]
  • A. The Man in Black
    The Man in Black is the iconic nickname of American country music legend Johnny Cash, reflecting his trademark dark clothing and somber, socially conscious persona.
  • B. The Man in Black chosen
    The Man in Black is a mysterious, manipulative sorcerer and recurring antagonist in Stephen King’s multiverse, most prominently opposing Roland Deschain in The Dark Tower series.
  • C. The Man in Black
    The Man in Black was the iconic nickname of legendary NASCAR driver Dale Earnhardt, known for his aggressive driving style and trademark black No. 3 car.
  • D. The Black
    The Black is the powerful, untamed Arabian stallion who forms a deep bond with a young boy in Walter Farley’s classic horse adventure series.
  • E. The Paleface
    The Paleface is a 1948 comedy Western film starring Bob Hope as a bumbling frontier dentist who becomes an unlikely hero alongside Jane Russell.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb786f65708190a92ec282b280c813 completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3521bfb48190935fe82a1f768adc completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:47 p.m.