Triple

T19836607
Position Surface form Disambiguated ID Type / Status
Subject Michael Walsh E476612 entity
Predicate hasFamilyName P18 FINISHED
Object Walsh 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: Walsh | Statement: [Michael Walsh, hasFamilyName, Walsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walsh
Context triple: [Michael Walsh, hasFamilyName, Walsh]
  • A. Walsh chosen
    Walsh is a common Irish-origin surname borne by numerous notable figures across fields such as film, politics, sports, and literature.
  • B. Walsh-Peelo
    Walsh-Peelo is the hyphenated Irish surname of actor and musician Ferdia Walsh-Peelo, known for his roles in film and television.
  • C. Wallach
    Wallach is a surname and given name of Germanic origin, historically associated with Central and Eastern Europe and borne by various notable figures in arts, science, and public life.
  • D. Welch
    Welch is a small city in southern West Virginia known historically as a coal-mining community and the county seat of McDowell County.
  • E. Welch
    Welch is a surname of English origin borne by various notable individuals across fields such as entertainment, science, and politics.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656d275608190841b23de167c401e completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.