Triple

T22448459
Position Surface form Disambiguated ID Type / Status
Subject Drucker E554924 entity
Predicate hasNotableBearer P458 FINISHED
Object Daniel C. Drucker NE NERFINISHED

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: Daniel C. Drucker | Statement: [Drucker, hasNotableBearer, Daniel C. Drucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel C. Drucker
Context triple: [Drucker, hasNotableBearer, Daniel C. Drucker]
  • A. Daniel C. Drucker chosen
    Daniel C. Drucker was a prominent American engineer and applied mechanician known for his influential contributions to plasticity theory and solid mechanics.
  • B. Eric J. Dubowsky
    Eric J. Dubowsky is a music producer known for his work with prominent contemporary artists and contributions to modern pop and electronic records.
  • C. Jeffrey S. Ashby
    Jeffrey S. Ashby is a retired U.S. Navy captain and NASA astronaut who flew on three Space Shuttle missions in the early 2000s.
  • D. Michael L. Coats
    Michael L. Coats is a former NASA astronaut and aerospace engineer who flew on three Space Shuttle missions and later served as director of the Johnson Space Center.
  • E. Robert D. Kohn
    Robert D. Kohn was an American architect known for his influential early 20th-century designs in New York City, including notable civic and institutional buildings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4a20f8819097f471084e97e099 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.