Triple

T11622364
Position Surface form Disambiguated ID Type / Status
Subject Delbert Mann E276169 entity
Predicate givenName P17 FINISHED
Object Delbert E483679 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: Delbert | Statement: [Delbert Mann, givenName, Delbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delbert
Context triple: [Delbert Mann, givenName, Delbert]
  • A. Delbert chosen
    Delbert is a masculine given name of English origin, often used in the United States during the early to mid-20th century.
  • B. Delbert Grady
    Delbert Grady is a ghostly former caretaker of the Overlook Hotel in Stephen King’s horror story "The Shining," known for having murdered his family and eerily influencing Jack Torrance.
  • C. Darrell
    Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
  • D. Wilbert
    Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
  • E. Randolph Driblette
    Randolph Driblette is a reclusive, visionary theater director and actor in Thomas Pynchon’s novel *The Crying of Lot 49*, whose enigmatic production of the play *The Courier’s Tragedy* deepens the book’s themes of conspiracy and interpretation.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee8762586481909a4b563c827487e0 completed April 26, 2026, 9:45 p.m.
Created at: April 8, 2026, 9:39 p.m.