Triple

T18718310
Position Surface form Disambiguated ID Type / Status
Subject Mount Pleasant Cemetery (Newark, New Jersey) E457700 entity
Predicate hasNotableInterment P3803 FINISHED
Object William A. Righter
William A. Righter was a notable individual interred at Mount Pleasant Cemetery in Newark, New Jersey, recognized for his local prominence and contributions during his lifetime.
E2270670 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: William A. Righter | Statement: [Mount Pleasant Cemetery (Newark, New Jersey), hasNotableInterment, William A. Righter]
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: William A. Righter
Triple: [Mount Pleasant Cemetery (Newark, New Jersey), hasNotableInterment, William A. Righter]
Generated description
William A. Righter was a notable individual interred at Mount Pleasant Cemetery in Newark, New Jersey, recognized for his local prominence and contributions during his lifetime.

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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab8198c8190bf2c4acaeb561970 completed April 19, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41cc874ae88190bd163e4bcfe569f7 completed June 29, 2026, 1:38 a.m.
NEDg Description generation batch_6a41cdab97bc8190a6fef8d57f05a86e completed June 29, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_6a41ce4ee73c81908516e320c5f494ff completed June 29, 2026, 1:45 a.m.
Created at: April 10, 2026, 11:50 a.m.