Triple

T27459310
Position Surface form Disambiguated ID Type / Status
Subject Mother Marianne Cope E692686 entity
Predicate workedAt P7 FINISHED
Object Kakaʻako Branch Hospital, Honolulu
Kakaʻako Branch Hospital in Honolulu was a late 19th-century medical facility in Hawaii known for treating patients with Hansen’s disease (leprosy), where figures like Mother Marianne Cope served the sick.
 E1773411 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: Kakaʻako Branch Hospital, Honolulu | Statement: [Mother Marianne Cope, workedAt, Kakaʻako Branch Hospital, Honolulu]
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: Kakaʻako Branch Hospital, Honolulu
Triple: [Mother Marianne Cope, workedAt, Kakaʻako Branch Hospital, Honolulu]
Generated description
Kakaʻako Branch Hospital in Honolulu was a late 19th-century medical facility in Hawaii known for treating patients with Hansen’s disease (leprosy), where figures like Mother Marianne Cope served the sick.

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_69ef5207903881909427745cda05d27a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62dcc3f10819099a0587db9bc9fb2 completed May 2, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b265070c81909a92a6d644bce0d0 completed May 24, 2026, 8:10 a.m.
NEDg Description generation batch_6a12b379225c8190aca2d280575a3f7a completed May 24, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_6a12b44191688190899b55266e559ede completed May 24, 2026, 8:18 a.m.
Created at: April 27, 2026, 12:49 p.m.