Triple

T17095095
Position Surface form Disambiguated ID Type / Status
Subject Holden Snyder E414825 entity
Predicate notableRelationship P1481 FINISHED
Object Lily Walsh E418573 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: Lily Walsh | Statement: [Holden Snyder, notableRelationship, Lily Walsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lily Walsh
Context triple: [Holden Snyder, notableRelationship, Lily Walsh]
  • A. Lily Walsh chosen
    Lily Walsh is a central, long-running character on the American soap opera "As the World Turns," known for her complex family ties and dramatic storylines.
  • B. Lily Atkinson
    Lily Atkinson is the daughter of British comedian and actor Rowan Atkinson, known for largely staying out of the public spotlight despite her father's fame.
  • C. Lily Brazier
    Lily Brazier is a British actress and writer best known for her comedic roles in television series such as "People Just Do Nothing" and various film and TV projects.
  • D. Lily Lesser
    Lily Lesser is the daughter of British actor Anton Lesser.
  • E. Lily Bell
    Lily Bell is a central character in the television series "Hell on Wheels," portrayed as a determined and resourceful Englishwoman navigating the dangers and politics surrounding the construction of the transcontinental railroad.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfc9158819081689d3d594a1908 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0141422d6c819086dc98988c0851d9 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:35 a.m.