Triple

T27861580
Position Surface form Disambiguated ID Type / Status
Subject Knud, Hereditary Prince of Denmark E704242 entity
Predicate spouse P13 FINISHED
Object Caroline-Mathilde of Denmark
Caroline-Mathilde of Denmark was a Danish princess and member of the royal family who became Hereditary Princess of Denmark through her marriage to Prince Knud.
E1855354 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: Caroline-Mathilde of Denmark | Statement: [Knud, Hereditary Prince of Denmark, spouse, Caroline-Mathilde of Denmark]
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: Caroline-Mathilde of Denmark
Triple: [Knud, Hereditary Prince of Denmark, spouse, Caroline-Mathilde of Denmark]
Generated description
Caroline-Mathilde of Denmark was a Danish princess and member of the royal family who became Hereditary Princess of Denmark through her marriage to Prince Knud.

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_69ef840f12408190b539d00d79658abf completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f639438ce88190a72ea1695afc5794 completed May 2, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25698e11f0819081c6beb009b0a110 completed June 7, 2026, 12:52 p.m.
NEDg Description generation batch_6a256e3f248c819090c3d806f3c3fd84 completed June 7, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a2572394c84819085d3812520aeb050 completed June 7, 2026, 1:29 p.m.
Created at: April 27, 2026, 6:18 p.m.