Triple

T31735613
Position Surface form Disambiguated ID Type / Status
Subject Wong Sun v. United States E809985 entity
Predicate involvesParty P15954 FINISHED
Object Wong Sun
Wong Sun was a defendant in a landmark 1963 U.S. Supreme Court case that helped define the scope of the exclusionary rule and the “fruit of the poisonous tree” doctrine under the Fourth Amendment.
E809985 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: Wong Sun | Statement: [Wong Sun v. United States, involvesParty, Wong Sun]
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: Wong Sun
Triple: [Wong Sun v. United States, involvesParty, Wong Sun]
Generated description
Wong Sun was a defendant in a landmark 1963 U.S. Supreme Court case that helped define the scope of the exclusionary rule and the “fruit of the poisonous tree” doctrine under the Fourth Amendment.

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_69f348e0e4908190a884582eca646fb7 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ab22f464819098766f11b1c3c846 completed May 3, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2d9d48e5448190abb05834ccdbd1ce completed June 13, 2026, 6:11 p.m.
NEDg Description generation batch_6a2d9e2593f4819092c89187e84af3c9 completed June 13, 2026, 6:15 p.m.
NED2 Entity disambiguation (via description) batch_6a2d9f0a0cf08190b4787d259334a31e completed June 13, 2026, 6:18 p.m.
Created at: April 30, 2026, 11:23 p.m.