Triple

T25860412
Position Surface form Disambiguated ID Type / Status
Subject Deipnosophistae E651462 entity
Predicate titleMeaning P4542 FINISHED
Object The Learned Banqueters
The Learned Banqueters is a classical work of Greek literature by Athenaeus that presents erudite discussions on food, drink, and culture through a series of conversations among scholarly diners.
 E1697602 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: The Learned Banqueters | Statement: [Deipnosophistae, titleMeaning, The Learned Banqueters]
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: The Learned Banqueters
Triple: [Deipnosophistae, titleMeaning, The Learned Banqueters]
Generated description
The Learned Banqueters is a classical work of Greek literature by Athenaeus that presents erudite discussions on food, drink, and culture through a series of conversations among scholarly diners.

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_69e7ab3a199c81909227cb964cacfe24 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6026b467c8190a1f8be336f8679da completed May 2, 2026, 1:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da401af48190840f60f01976704d completed May 22, 2026, 10:35 p.m.
NEDg Description generation batch_6a10de0f6f3c8190b0b146ad514b308c completed May 22, 2026, 10:51 p.m.
NED2 Entity disambiguation (via description) batch_6a10deb8376c81908eb946690de355b2 completed May 22, 2026, 10:54 p.m.
Created at: April 22, 2026, 8:05 a.m.