Triple

T37792955
Position Surface form Disambiguated ID Type / Status
Subject Sedima, S.P.R.L. v. Imrex Co. E942131 entity
Predicate respondent P2238 FINISHED
Object Imrex Co., Inc.
Imrex Co., Inc. is a business entity best known as the respondent in the landmark U.S. Supreme Court case Sedima, S.P.R.L. v. Imrex Co., which significantly shaped the interpretation of civil RICO claims.
E2243958 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: Imrex Co., Inc. | Statement: [Sedima, S.P.R.L. v. Imrex Co., respondent, Imrex Co., Inc.]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Imrex Co., Inc.
Triple: [Sedima, S.P.R.L. v. Imrex Co., respondent, Imrex Co., Inc.]
Generated description
Imrex Co., Inc. is a business entity best known as the respondent in the landmark U.S. Supreme Court case Sedima, S.P.R.L. v. Imrex Co., which significantly shaped the interpretation of civil RICO claims.

Provenance (5 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_69f76ee6f1f4819091e2cf9c9e6aee19 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb16dac5c819097764cf6086b8d09 completed May 6, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40f18446f4819080023f59e010120e completed June 28, 2026, 10:03 a.m.
NEDg Description generation batch_6a40f2bb3edc81908cec16b5cbe9c532 completed June 28, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a40f36dccfc81909a9d4c1f171adc98 completed June 28, 2026, 10:11 a.m.
Created at: May 3, 2026, 4:19 p.m.