Triple

T29963315
Position Surface form Disambiguated ID Type / Status
Subject Twenty 4 Seven E761107 entity
Predicate notableMember P10 FINISHED
Object Nance Coolen
Nance Coolen is a Dutch singer and television presenter best known as the female vocalist of the 1990s Eurodance group Twenty 4 Seven.
 E1950594 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: Nance Coolen | Statement: [Twenty 4 Seven, notableMember, Nance Coolen]
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: Nance Coolen
Triple: [Twenty 4 Seven, notableMember, Nance Coolen]
Generated description
Nance Coolen is a Dutch singer and television presenter best known as the female vocalist of the 1990s Eurodance group Twenty 4 Seven.

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_69f22466327481908ba6db916837bece completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f67866e9248190b7ba218f9ca2ae8d completed May 2, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2958e80e888190a45abc2b8de84ae1 completed June 10, 2026, 12:30 p.m.
NEDg Description generation batch_6a295ab6b688819098e012622aa8da37 completed June 10, 2026, 12:38 p.m.
NED2 Entity disambiguation (via description) batch_6a295b1612148190b7e671f83ffee27b completed June 10, 2026, 12:39 p.m.
Created at: April 29, 2026, 6:29 p.m.