Triple

T36542887
Position Surface form Disambiguated ID Type / Status
Subject Lands case E901065 entity
Predicate bench P29312 FINISHED
Object Sir John McMullin
Sir John McMullin was a judge who served on the bench in the notable Lands case.
 E2191325 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: Sir John McMullin | Statement: [Lands case, bench, Sir John McMullin]
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: Sir John McMullin
Triple: [Lands case, bench, Sir John McMullin]
Generated description
Sir John McMullin was a judge who served on the bench in the notable Lands case.

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_69f76e61217081908b79d610fe67b013 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c243aa308190ad368856559bc36a completed May 3, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39f9042a4c81909c407d5ae4811f43 completed June 23, 2026, 3:09 a.m.
NEDg Description generation batch_6a39fd1507bc819095303e719a6e33ca completed June 23, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_6a39fd67f4808190aab9e0d94bb5e328 completed June 23, 2026, 3:28 a.m.
Created at: May 3, 2026, 4:11 p.m.