Triple

T8831033
Position Surface form Disambiguated ID Type / Status
Subject Lake Erie Monsters E210140 entity
Predicate mascot P52 FINISHED
Object Sullivan E122989 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: Sullivan | Statement: [Lake Erie Monsters, mascot, Sullivan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sullivan
Context triple: [Lake Erie Monsters, mascot, Sullivan]
  • A. Sullivan
    Sullivan is a shortened name for the international law firm Sullivan & Worcester LLP, known for its corporate, tax, and financial legal services.
  • B. Sullivan chosen
    Sullivan is a common Irish surname that has been borne by numerous notable figures in politics, arts, sports, and other fields.
  • C. Dolan
    Dolan is a surname most prominently associated with the American business family that controls Madison Square Garden Sports and Entertainment, including executive James L. Dolan.
  • D. Willis
    Willis is a masculine given name and surname of English origin, often considered a variant or cognate of the name Wilson.
  • E. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc604ed2b88190b4f53b34b5a438f7 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf896cf5a8819098a76288bd505c1e completed April 3, 2026, 9:33 a.m.
Created at: March 30, 2026, 6:47 p.m.