Triple

T24398009
Position Surface form Disambiguated ID Type / Status
Subject Look at Us E615079 entity
Predicate hasTrack P3284 FINISHED
Object Where Do You Go
"Where Do You Go" is a Eurodance song best known from the 1996 hit version by No Mercy, featuring a catchy chorus about a disappearing lover.
 E1632550 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: Where Do You Go | Statement: [Look at Us, hasTrack, Where Do You Go]
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: Where Do You Go
Triple: [Look at Us, hasTrack, Where Do You Go]
Generated description
"Where Do You Go" is a Eurodance song best known from the 1996 hit version by No Mercy, featuring a catchy chorus about a disappearing lover.

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_69e2d7e509b88190a53155d4f3de45ce completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f294d85db08190b4c63ea6b7b74438 completed April 29, 2026, 11:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd685da788190a24a84f858e4c4e0 completed May 22, 2026, 4:07 a.m.
NEDg Description generation batch_6a0fd84c31308190b41ac794964e4d12 completed May 22, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd8e5ce10819096e6cdff28c1b3a2 completed May 22, 2026, 4:17 a.m.
Created at: April 18, 2026, 2:05 a.m.