Triple

T26432203
Position Surface form Disambiguated ID Type / Status
Subject Mackle Brothers E664539 entity
Predicate ownedBy P347 FINISHED
Object Mackle family
The Mackle family is a prominent American real estate and development family best known for founding and expanding the Mackle Brothers’ large-scale housing and land development enterprises in Florida.
E1726525 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: Mackle family | Statement: [Mackle Brothers, ownedBy, Mackle family]
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: Mackle family
Triple: [Mackle Brothers, ownedBy, Mackle family]
Generated description
The Mackle family is a prominent American real estate and development family best known for founding and expanding the Mackle Brothers’ large-scale housing and land development enterprises in Florida.

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_69ee883ad6a4819088f918e76122d690 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f611bebb8481909d7be89946db38d1 completed May 2, 2026, 3:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aeca50ac81908f37bebed39d81e8 completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11b290f4388190b733d4ce4f4b6b25 completed May 23, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a11b32b04448190803e9a66a4931bbd completed May 23, 2026, 2:01 p.m.
Created at: April 26, 2026, 11:50 p.m.