Triple

T35492352
Position Surface form Disambiguated ID Type / Status
Subject Order of the Caribbean Community E1025761 entity
Predicate hasRecipient P108 FINISHED
Object Dame Nita Barrow
Dame Nita Barrow was a Barbadian nurse, public health leader, and diplomat who became Barbados’s first female Governor-General and a prominent advocate for social justice and Caribbean regionalism.
E2142037 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: Dame Nita Barrow | Statement: [Order of the Caribbean Community, hasRecipient, Dame Nita Barrow]
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: Dame Nita Barrow
Triple: [Order of the Caribbean Community, hasRecipient, Dame Nita Barrow]
Generated description
Dame Nita Barrow was a Barbadian nurse, public health leader, and diplomat who became Barbados’s first female Governor-General and a prominent advocate for social justice and Caribbean regionalism.

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_69f76dfbcdd881908c7b0b6bc502252b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7972f535081908b76e690607ebb6b completed May 3, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a384046eac481908b2faecdb1204c42 completed June 21, 2026, 7:49 p.m.
NEDg Description generation batch_6a3841005e4c8190b34e152079613853 completed June 21, 2026, 7:52 p.m.
NED2 Entity disambiguation (via description) batch_6a38417151208190a130bdb18576e17e completed June 21, 2026, 7:54 p.m.
Created at: May 3, 2026, 4:04 p.m.