Triple

T34650969
Position Surface form Disambiguated ID Type / Status
Subject Helenus (son of Pyrrhus) E889836 entity
Predicate partOf P40 FINISHED
Object Epirote monarchy
The Epirote monarchy was the ancient royal institution that ruled the region of Epirus in northwestern Greece, most famously associated with the Molossian dynasty and King Pyrrhus.
E121520 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: Epirote monarchy | Statement: [Helenus (son of Pyrrhus), partOf, Epirote monarchy]
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: Epirote monarchy
Triple: [Helenus (son of Pyrrhus), partOf, Epirote monarchy]
Generated description
The Epirote monarchy was the ancient royal institution that ruled the region of Epirus in northwestern Greece, most famously associated with the Molossian dynasty and King Pyrrhus.

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_69f349d825c88190bfc6170ac9281260 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f722c27e1c819098f67081bc0764b3 completed May 3, 2026, 10:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3748f7de248190990e9e6423d67ef9 completed June 21, 2026, 2:14 a.m.
NEDg Description generation batch_6a374a4c38c88190bdd7ad54e6a7a714 completed June 21, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_6a374ab6a5388190ad9d0601f27c6748 completed June 21, 2026, 2:21 a.m.
Created at: May 1, 2026, 2:04 a.m.