Triple

T38414154
Position Surface form Disambiguated ID Type / Status
Subject Lewis Morris (1698–1762) E901558 entity
Predicate positionHeld P8 FINISHED
Object Chief Justice of New York
The Chief Justice of New York is the highest-ranking judicial officer in the state’s court system, presiding over its top court and overseeing the administration of justice statewide.
 E30212 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: Chief Justice of New York | Statement: [Lewis Morris (1698–1762), positionHeld, Chief Justice of New York]
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: Chief Justice of New York
Triple: [Lewis Morris (1698–1762), positionHeld, Chief Justice of New York]
Generated description
The Chief Justice of New York is the highest-ranking judicial officer in the state’s court system, presiding over its top court and overseeing the administration of justice statewide.

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_69f76e61e79c81908b787d83b46ab92b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd6665388190995223f7af273ecd completed May 7, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c283e5948190b8b9cfdd3633b21d completed June 29, 2026, 12:55 a.m.
NEDg Description generation batch_6a41c3dac6ec81909231576db0b9808d completed June 29, 2026, 1:01 a.m.
NED2 Entity disambiguation (via description) batch_6a41c481f72c8190b44745166b1bb8c4 completed June 29, 2026, 1:04 a.m.
Created at: May 3, 2026, 4:31 p.m.