Triple

T32967237
Position Surface form Disambiguated ID Type / Status
Subject The Adulterers E843402 entity
Predicate author P4 FINISHED
Object Philemon
Philemon was an Athenian comic playwright of the New Comedy period, known as a rival of Menander and a prolific author of popular stage works.
E226930 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: Philemon | Statement: [The Adulterers, author, Philemon]
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: Philemon
Triple: [The Adulterers, author, Philemon]
Generated description
Philemon was an Athenian comic playwright of the New Comedy period, known as a rival of Menander and a prolific author of popular stage works.

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_69f3494af2808190ad98cec2f1bc0fe6 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d1a306b88190a14513a21ed4f076 completed May 3, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34f0011eb48190b5356603ec39de40 completed June 19, 2026, 7:30 a.m.
NEDg Description generation batch_6a34f33dd1e48190ad4ef51ff19aa541 completed June 19, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_6a34f40031b48190bfde0ae6c53420ca completed June 19, 2026, 7:47 a.m.
Created at: May 1, 2026, 1:21 a.m.