Triple

T11402015
Position Surface form Disambiguated ID Type / Status
Subject Jerry Wall E270131 entity
Predicate nameInLatinAlphabet P22444 FINISHED
Object Jerry Wall E270131 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: Jerry Wall | Statement: [Jerry Wall, nameInLatinAlphabet, Jerry Wall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Wall
Context triple: [Jerry Wall, nameInLatinAlphabet, Jerry Wall]
  • A. Jerry Wall chosen
    Jerry Wall is an individual notable enough to be recognized as a namesake of the surname Wall, though specific widely known achievements or roles are not clearly documented.
  • B. Michael Wall
    Michael Wall is a biotechnology entrepreneur best known as the founder of the biopharmaceutical company Alkermes.
  • C. Thomas Wall
    Thomas Wall is a personal name shared by multiple individuals, including historical figures, professionals, and public personalities across various fields.
  • D. Frank Wall
    Frank Wall is a relatively obscure individual whose name is notably recorded as a bearer of the surname "Wall."
  • E. Eric Waller
    Eric Waller is an entrepreneur best known as a co-founder of the mobile-focused ticketing platform SeatGeek.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58d244870819091e8331eb3bd792d completed April 20, 2026, 2:19 a.m.
Created at: April 8, 2026, 9:34 p.m.