Triple

T14400464
Position Surface form Disambiguated ID Type / Status
Subject Tracy Pollan E357055 entity
Predicate sibling P363 FINISHED
Object Michael Pollan E818634 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: Michael Pollan | Statement: [Tracy Pollan, sibling, Michael Pollan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Pollan
Context triple: [Tracy Pollan, sibling, Michael Pollan]
  • A. Michael Pollan chosen
    Michael Pollan is an American author, journalist, and professor best known for his influential books and commentary on food, agriculture, and the ethics of eating.
  • B. David Perlmutter
    David Perlmutter is an American linguist known for his influential work in generative grammar and for co-developing Relational Grammar.
  • C. Amy Stewart
    Amy Stewart is an actress known for her role in the 1997 film "Trucks," an adaptation of Stephen King's short story about killer vehicles.
  • D. Eric Schlosser
    Eric Schlosser is an American investigative journalist and author best known for his critical examinations of the fast food industry and industrial food production, including the book "Fast Food Nation."
  • E. Susan Orlean
    Susan Orlean is an American journalist and author best known for her narrative nonfiction works such as "The Orchid Thief," which inspired the film "Adaptation."
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de908500048190bb6a20fe318d5c62 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551eb09c8190a102ab452371e5b1 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.