Triple

T35849457
Position Surface form Disambiguated ID Type / Status
Subject Papremis E1036308 entity
Predicate mentionedInWork P831 FINISHED
Object Histories
Histories is the ancient Greek work by Herodotus that is widely regarded as the foundational text of Western historiography, chronicling the Greco-Persian Wars and the cultures of the ancient world.
E290577 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: Histories | Statement: [Papremis, mentionedInWork, Histories]
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: Histories
Triple: [Papremis, mentionedInWork, Histories]
Generated description
Histories is the ancient Greek work by Herodotus that is widely regarded as the foundational text of Western historiography, chronicling the Greco-Persian Wars and the cultures of the ancient world.

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_69f76e1b4aa481909630373171eb5ec6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a94f5a048190b8b4a4434c648b3b completed May 3, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a389c2d68bc819099349ace31c4da4b completed June 22, 2026, 2:21 a.m.
NEDg Description generation batch_6a389d901c048190af8cbb4eb5fca156 completed June 22, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_6a389e5407b48190a8f1610e6ba216b4 completed June 22, 2026, 2:30 a.m.
Created at: May 3, 2026, 4:06 p.m.