Triple

T15729556
Position Surface form Disambiguated ID Type / Status
Subject Kate Walsh E381304 entity
Predicate instagramUsername P3718 FINISHED
Object katewalsh E1174071 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: katewalsh | Statement: [Kate Walsh, instagramUsername, katewalsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: katewalsh
Context triple: [Kate Walsh, instagramUsername, katewalsh]
  • A. katewalsh chosen
    Kate Walsh is an American actress best known for her role as Dr. Addison Montgomery on the television series "Grey's Anatomy" and its spin-off "Private Practice."
  • B. Katherine Pine
    Katherine Pine is an American actress known for her roles in film and television during the late 1990s and early 2000s, and as the sister of actor Chris Pine.
  • C. Katherine Russell
    Katherine Russell is an American woman best known as the widow of Boston Marathon bomber Tamerlan Tsarnaev, who came under public scrutiny following the 2013 attack.
  • D. Katherine Patrick
    Katherine Patrick is the daughter of former Massachusetts governor Deval Patrick and has occasionally appeared in public alongside her politically prominent family.
  • E. Gwynyth Walsh
    Gwynyth Walsh is a Canadian actress known for her work in film and television, including roles in genre series such as "Star Trek: The Next Generation" and "Black Summer."
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb61cb881908b158609c1ccfa1e completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876759288190b263cbea00fdaba4 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:46 a.m.