Triple

T35513069
Position Surface form Disambiguated ID Type / Status
Subject Lordship of Coucy E1026335 entity
Predicate hasNotableRuler P6811 FINISHED
Object Enguerrand III of Coucy
Enguerrand III of Coucy was a powerful 13th-century French nobleman and feudal lord renowned for his military leadership, political influence, and the construction of the formidable Château de Coucy.
E2146876 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: Enguerrand III of Coucy | Statement: [Lordship of Coucy, hasNotableRuler, Enguerrand III of Coucy]
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: Enguerrand III of Coucy
Triple: [Lordship of Coucy, hasNotableRuler, Enguerrand III of Coucy]
Generated description
Enguerrand III of Coucy was a powerful 13th-century French nobleman and feudal lord renowned for his military leadership, political influence, and the construction of the formidable Château de Coucy.

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_69f76dfd61208190b93ec6dc439cab41 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7979ac3808190ad1a584db73f2194 completed May 3, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a385bc67de88190bd838cb0525bd6d0 completed June 21, 2026, 9:46 p.m.
NEDg Description generation batch_6a385c35b6cc8190b6fc00bc793c1c15 completed June 21, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_6a385c8fe0e881908f84cd1f8670b699 completed June 21, 2026, 9:50 p.m.
Created at: May 3, 2026, 4:04 p.m.