Triple

T25459584
Position Surface form Disambiguated ID Type / Status
Subject Merlene Ottey E638006 entity
Predicate placeOfBirth P1 FINISHED
Object Cold Spring, Hanover Parish, Jamaica
Cold Spring in Hanover Parish, Jamaica, is a rural community best known as the birthplace of legendary Jamaican sprinter Merlene Ottey.
E903568 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: Cold Spring, Hanover Parish, Jamaica | Statement: [Merlene Ottey, placeOfBirth, Cold Spring, Hanover Parish, Jamaica]
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: Cold Spring, Hanover Parish, Jamaica
Triple: [Merlene Ottey, placeOfBirth, Cold Spring, Hanover Parish, Jamaica]
Generated description
Cold Spring in Hanover Parish, Jamaica, is a rural community best known as the birthplace of legendary Jamaican sprinter Merlene Ottey.

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_69e75db8bab08190baca80b4a8c315fd completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f72a452c8190b53c90a8a725dd69 completed May 2, 2026, 1:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1089b4c3fc8190801d27a74bf721f2 completed May 22, 2026, 4:52 p.m.
NEDg Description generation batch_6a108a67fc908190926977f4e65dba0b completed May 22, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a108afb4ad08190a1e9bcd731d98fcb completed May 22, 2026, 4:57 p.m.
Created at: April 21, 2026, 2:11 p.m.