Triple

T36593361
Position Surface form Disambiguated ID Type / Status
Subject Mount Hope Cemetery, Boston E902727 entity
Predicate hasNotableBurial P196 FINISHED
Object John A. Andrew II
John A. Andrew II was a prominent Massachusetts figure and descendant of Civil War–era Governor John Albion Andrew, remembered for his family’s political legacy and public service.
E987389 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: John A. Andrew II | Statement: [Mount Hope Cemetery, Boston, hasNotableBurial, John A. Andrew II]
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: John A. Andrew II
Triple: [Mount Hope Cemetery, Boston, hasNotableBurial, John A. Andrew II]
Generated description
John A. Andrew II was a prominent Massachusetts figure and descendant of Civil War–era Governor John Albion Andrew, remembered for his family’s political legacy and public service.

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_69f76e6592e88190bac4eb00a46e9df9 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c30642ac81908ecfad6fb5f29e17 completed May 3, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a09555a9481908ca05843d0b70017 completed June 23, 2026, 4:19 a.m.
NEDg Description generation batch_6a3a0b01028081908007dda13fb7ee17 completed June 23, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_6a3a0d12a6788190892b3f1fd893ab08 completed June 23, 2026, 4:35 a.m.
Created at: May 3, 2026, 4:11 p.m.