Triple

T36310249
Position Surface form Disambiguated ID Type / Status
Subject Governor of the Turks and Caicos Islands E894046 entity
Predicate officeHoldersInclude P537 FINISHED
Object Nigel Dakin
Nigel Dakin is a British diplomat and public servant who has served as the Governor of the Turks and Caicos Islands, representing the British monarch and overseeing the territory’s governance.
E2188266 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: Nigel Dakin | Statement: [Governor of the Turks and Caicos Islands, officeHoldersInclude, Nigel Dakin]
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: Nigel Dakin
Triple: [Governor of the Turks and Caicos Islands, officeHoldersInclude, Nigel Dakin]
Generated description
Nigel Dakin is a British diplomat and public servant who has served as the Governor of the Turks and Caicos Islands, representing the British monarch and overseeing the territory’s governance.

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_69f76e4c1b248190b10667d0213537fe completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7ba22e9ec8190b2a759c5da2473d4 completed May 3, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39e6c4f0ec8190a391b9b37918dc95 completed June 23, 2026, 1:52 a.m.
NEDg Description generation batch_6a39e7409a648190ad9e9fef152ea1ec completed June 23, 2026, 1:54 a.m.
NED2 Entity disambiguation (via description) batch_6a39e79b88648190b91c6081ad05a155 completed June 23, 2026, 1:55 a.m.
Created at: May 3, 2026, 4:09 p.m.