Triple

T22178843
Position Surface form Disambiguated ID Type / Status
Subject Linda Greenhouse E548116 entity
Predicate name P16 FINISHED
Object Linda Greenhouse NE NERFINISHED

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: Linda Greenhouse | Statement: [Linda Greenhouse, name, Linda Greenhouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Greenhouse
Context triple: [Linda Greenhouse, name, Linda Greenhouse]
  • A. Linda Greenhouse chosen
    Linda Greenhouse is a Pulitzer Prize–winning American journalist best known for her long tenure as a Supreme Court correspondent for The New York Times and her influential commentary on the U.S. judiciary.
  • B. Martha Finnemore
    Martha Finnemore is a prominent American international relations scholar known for her influential work on constructivism and the role of norms and international organizations in global politics.
  • C. Joan Williams
    Joan Williams is a supporting character in DC Comics, best known as the longtime romantic partner of the original Flash, Jay Garrick.
  • D. Allison L. Keyes
    Allison L. Keyes is the daughter of conservative American political activist and former presidential candidate Alan Keyes.
  • E. Nina Tassler
    Nina Tassler is an American television executive and producer best known for serving as chairman of CBS Entertainment, where she oversaw many of the network’s most successful series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6dd5a081908035e81c068d8d5a completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.