Triple

T37016083
Position Surface form Disambiguated ID Type / Status
Subject Harriet Boyd Hawes E916083 entity
Predicate fieldOfWork P3 FINISHED
Object Minoan archaeology
Minoan archaeology is the study of the Bronze Age Minoan civilization of Crete and the Aegean, focusing on its palaces, art, religion, and material culture.
E2208753 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: Minoan archaeology | Statement: [Harriet Boyd Hawes, fieldOfWork, Minoan archaeology]
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: Minoan archaeology
Triple: [Harriet Boyd Hawes, fieldOfWork, Minoan archaeology]
Generated description
Minoan archaeology is the study of the Bronze Age Minoan civilization of Crete and the Aegean, focusing on its palaces, art, religion, and material culture.

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_69f76e920dc48190acb6bb7ebc4dffab completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fa007c09f0819096df63f6fcd975f0 completed May 5, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e5772d36c8190bcb3e835023a08dc completed June 26, 2026, 10:41 a.m.
NEDg Description generation batch_6a3e591d57608190bd82a60c74d1ae1d completed June 26, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a3e5f3d909c8190b6799371d945e534 completed June 26, 2026, 11:15 a.m.
Created at: May 3, 2026, 4:14 p.m.