Triple

T36186916
Position Surface form Disambiguated ID Type / Status
Subject Hazelwood Cemetery, Springfield, Missouri E1046871 entity
Predicate hasNotableBurial P196 FINISHED
Object A. M. Haseltine
A. M. Haseltine was a prominent local figure from Springfield, Missouri, remembered well enough for his influence or public service that his grave is recognized as a notable burial in Hazelwood Cemetery.
E2190857 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: A. M. Haseltine | Statement: [Hazelwood Cemetery, Springfield, Missouri, hasNotableBurial, A. M. Haseltine]
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: A. M. Haseltine
Triple: [Hazelwood Cemetery, Springfield, Missouri, hasNotableBurial, A. M. Haseltine]
Generated description
A. M. Haseltine was a prominent local figure from Springfield, Missouri, remembered well enough for his influence or public service that his grave is recognized as a notable burial in Hazelwood Cemetery.

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_69f76e3d4fbc81908c159c7beeb4ce00 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b5159e5c81908f8ac93fa29b22ea completed May 3, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39f8f52ce08190ace8b657929478ef completed June 23, 2026, 3:09 a.m.
NEDg Description generation batch_6a39fbbcb73481908c4346df2900a03a completed June 23, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_6a39fc7cd3288190a17acf9a240987c7 completed June 23, 2026, 3:24 a.m.
Created at: May 3, 2026, 4:08 p.m.