Triple

T1385380
Position Surface form Disambiguated ID Type / Status
Subject Sullivan & Worcester LLP E29832 entity
Predicate shortName P43 FINISHED
Object Sullivan E29832 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: [Sullivan & Worcester LLP, shortName, Sullivan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sullivan
Context triple: [Sullivan & Worcester LLP, shortName, Sullivan]
  • A. Sullivan chosen
    Sullivan is a shortened name for the international law firm Sullivan & Worcester LLP, known for its corporate, tax, and financial legal services.
  • B. Sullivan
    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. Rawson
    Rawson is a coastal city in southern Argentina that serves as the capital of Chubut Province and an important administrative and fishing center in Patagonia.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c339f3d481909c04b14129899945 completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd48e046c8190bc4820d6c4ce907d completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:59 p.m.