Triple

T5439208
Position Surface form Disambiguated ID Type / Status
Subject Watergate exhibits E122088 entity
Predicate featuresPerson P2308 FINISHED
Object H. R. Haldeman E10027 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: H. R. Haldeman | Statement: [Watergate exhibits, featuresPerson, H. R. Haldeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: H. R. Haldeman
Context triple: [Watergate exhibits, featuresPerson, H. R. Haldeman]
  • A. H. R. Haldeman chosen
    H. R. Haldeman was a powerful and influential aide to President Richard Nixon, best known for his central role in the Watergate scandal.
  • B. John Ehrlichman
    John Ehrlichman was a top domestic policy aide to U.S. President Richard Nixon who became a central figure in the Watergate scandal and was later convicted for his role in its cover-up.
  • C. John Colville
    John Colville was a British colonial administrator who served as a senior official in British India during the 19th century.
  • D. John N. Mitchell
    John N. Mitchell was a U.S. Attorney General under President Richard Nixon who became a central figure in the Watergate scandal and was later convicted for his role in it.
  • E. Michael Maddox
    Michael Maddox was an English theatrical entrepreneur who played a key role in developing Russian theatre in the late 18th century, notably helping establish what became the Bolshoi Theatre in Moscow.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91be61dc819087f4a77bdc5ff382 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ad3a3d88190bacde12f515d9971 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:07 p.m.