Triple

T35709590
Position Surface form Disambiguated ID Type / Status
Subject Laisse tomber les filles E1031814 entity
Predicate hasCoverVersion P11142 FINISHED
Object Chick Habit
"Chick Habit" is an English-language adaptation of the French song "Laisse tomber les filles," best known in the version by American musician April March that blends retro yé-yé pop with surf-rock influences.
E2152604 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: Chick Habit | Statement: [Laisse tomber les filles, hasCoverVersion, Chick Habit]
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: Chick Habit
Triple: [Laisse tomber les filles, hasCoverVersion, Chick Habit]
Generated description
"Chick Habit" is an English-language adaptation of the French song "Laisse tomber les filles," best known in the version by American musician April March that blends retro yé-yé pop with surf-rock influences.

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_69f76e0df1d08190965b1c6dff94c391 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a0f44d1881908b879650de1bc4af completed May 3, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a387d0ea08c81908cc36e99b055c45f completed June 22, 2026, 12:08 a.m.
NEDg Description generation batch_6a387da3cca88190871b690e2ee62c9e completed June 22, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_6a387e3b94cc8190bfc6b69d756793fb completed June 22, 2026, 12:13 a.m.
Created at: May 3, 2026, 4:05 p.m.