Triple

T31079718
Position Surface form Disambiguated ID Type / Status
Subject Athenian embassy to Macedon E792065 entity
Predicate topicOf P380 FINISHED
Object Aeschines’ speech On the Embassy
Aeschines’ speech On the Embassy is a forensic oration in which the Athenian statesman defends his conduct during a diplomatic mission to Philip II of Macedon amid rising tensions before the final clash with Macedon.
E1950293 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: Aeschines’ speech On the Embassy | Statement: [Athenian embassy to Macedon, topicOf, Aeschines’ speech On the Embassy]
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: Aeschines’ speech On the Embassy
Triple: [Athenian embassy to Macedon, topicOf, Aeschines’ speech On the Embassy]
Generated description
Aeschines’ speech On the Embassy is a forensic oration in which the Athenian statesman defends his conduct during a diplomatic mission to Philip II of Macedon amid rising tensions before the final clash with Macedon.

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_69f224ccdbbc81909b0cdb4cc2d70c7a completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f695bd88d88190a7bb4fcded6a5b62 completed May 3, 2026, 12:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29471199ec8190ae652e8a5f725629 completed June 10, 2026, 11:14 a.m.
NEDg Description generation batch_6a294edd87888190a40f71d4d7f57b18 completed June 10, 2026, 11:47 a.m.
NED2 Entity disambiguation (via description) batch_6a2950ac30e88190a3f55d5a68f317d8 completed June 10, 2026, 11:55 a.m.
Created at: April 29, 2026, 9:02 p.m.