Triple

T7967087
Position Surface form Disambiguated ID Type / Status
Subject Michael Heizer E185231 entity
Predicate father P120 FINISHED
Object Robert Heizer E182623 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 Heizer | Statement: [Michael Heizer, father, Robert Heizer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Heizer
Context triple: [Michael Heizer, father, Robert Heizer]
  • A. Robert Heizer chosen
    Robert Heizer was an influential American archaeologist known for his pioneering research on Mesoamerican and Native Californian cultures.
  • B. Charles Rettig
    Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
  • C. Gordon Sauer
    Gordon Sauer is an individual notable enough to be recognized as a prominent bearer of the surname Sauer, though specific widely known public details about him are not readily available.
  • D. Ben Vrackie
    Ben Vrackie is a prominent hill in Perthshire, Scotland, popular with walkers for its scenic summit views over the town of Pitlochry and the surrounding Highlands.
  • E. Ronald Wolfe
    Ronald Wolfe was a British television comedy writer best known for co-creating popular sitcoms such as "The Rag Trade."
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ba3f53c8190a0e9b3de2f1b9645 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccec9e21d881908963dcc38bcc2df0 completed April 1, 2026, 9:59 a.m.
Created at: March 30, 2026, 5:13 p.m.