Triple

T2749280
Position Surface form Disambiguated ID Type / Status
Subject Robert G. Heft E60944 entity
Predicate name P16 FINISHED
Object Robert G. Heft E60944 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: Robert G. Heft | Statement: [Robert G. Heft, name, Robert G. Heft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert G. Heft
Context triple: [Robert G. Heft, name, Robert G. Heft]
  • A. Robert G. Heft chosen
    Robert G. Heft was an American designer best known for creating the 50-star version of the United States flag while still a high school student.
  • B. Ronald J. Grabe
    Ronald J. Grabe is a former NASA astronaut and U.S. Air Force colonel who piloted and commanded multiple Space Shuttle missions.
  • C. Robert L. Freedman
    Robert L. Freedman is an American screenwriter and playwright best known for his work on acclaimed television movies and miniseries, including biographical and historical dramas.
  • D. Richard H. Kline
    Richard H. Kline was an American cinematographer known for his work on major Hollywood films from the 1960s through the 1980s, including visually ambitious projects like the 1976 remake of King Kong.
  • E. John D. Porcari
    John D. Porcari is an American public official and transportation expert who served in senior leadership roles at the U.S. Department of Transportation and in state-level transportation agencies.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb517a00819084fd8f8933a25212 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4c13494819095821f44916329c9 completed March 14, 2026, 4:32 a.m.
Created at: March 6, 2026, 9:56 p.m.