Triple

T12296382
Position Surface form Disambiguated ID Type / Status
Subject Harry Robbins Haldeman E293096 entity
Predicate middleName P143 FINISHED
Object Robbins E55006 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: Robbins | Statement: [Harry Robbins Haldeman, middleName, Robbins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robbins
Context triple: [Harry Robbins Haldeman, middleName, Robbins]
  • A. Robbins chosen
    Robbins is the middle name of H. R. Haldeman, the influential White House Chief of Staff under U.S. President Richard Nixon and a central figure in the Watergate scandal.
  • B. Robbins
    Robbins is a common English-language surname borne by numerous notable individuals across fields such as entertainment, literature, and academia.
  • C. Robbins
    Robbins is a small unincorporated community in Sutter County, California, known for its rural agricultural setting in the Sacramento Valley.
  • D. Robbinsen
    Robbinsen is a surname variant of Robbins, likely sharing the same English patronymic origins derived from the given name Robin.
  • E. Robberts
    Robberts is the given name of Charles Robberts Swart, the first State President of South Africa.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed903808190b7ed90e0db3d7586 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7b88d08190a195a294a7fbd168 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.