Triple

T35973315
Position Surface form Disambiguated ID Type / Status
Subject Adaside dynasty E1040344 entity
Predicate hasMember P10 FINISHED
Object Tiglath-Pileser II
Tiglath-Pileser II was a king of Assyria in the 10th century BCE, known for consolidating royal authority and maintaining Assyrian power during a relatively obscure period between more expansionist rulers.
E2179948 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: Tiglath-Pileser II | Statement: [Adaside dynasty, hasMember, Tiglath-Pileser II]
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: Tiglath-Pileser II
Triple: [Adaside dynasty, hasMember, Tiglath-Pileser II]
Generated description
Tiglath-Pileser II was a king of Assyria in the 10th century BCE, known for consolidating royal authority and maintaining Assyrian power during a relatively obscure period between more expansionist rulers.

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_69f76e27758c81909b711cf38a130aaf completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ac288fb8819086702ee84cfb39b6 completed May 3, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39a30666e08190b49fda5e72180700 completed June 22, 2026, 9:03 p.m.
NEDg Description generation batch_6a39a4d730648190b56cb4f1598728a2 completed June 22, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_6a39a5fe38bc819084ecc9457e9ec35e completed June 22, 2026, 9:15 p.m.
Created at: May 3, 2026, 4:07 p.m.