Triple

T27218178
Position Surface form Disambiguated ID Type / Status
Subject Holly Willoughby E681194 entity
Predicate notableWork P4 FINISHED
Object Truly Happy Baby... It Worked for Me
"Truly Happy Baby... It Worked for Me" is a parenting and baby-care guidebook by British television presenter Holly Willoughby, offering practical advice and personal tips for new parents.
E1759828 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: Truly Happy Baby... It Worked for Me | Statement: [Holly Willoughby, notableWork, Truly Happy Baby... It Worked for Me]
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: Truly Happy Baby... It Worked for Me
Triple: [Holly Willoughby, notableWork, Truly Happy Baby... It Worked for Me]
Generated description
"Truly Happy Baby... It Worked for Me" is a parenting and baby-care guidebook by British television presenter Holly Willoughby, offering practical advice and personal tips for new parents.

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_69eefac9f64c8190a07490fe0c8b72a3 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6261e75908190810516f49032aae1 completed May 2, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1253aaf5b88190a053e3f8cb9a8881 completed May 24, 2026, 1:26 a.m.
NEDg Description generation batch_6a1254349d388190b85474fb0a86bab3 completed May 24, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a1254f46d288190aa6f45f8c8e9007d completed May 24, 2026, 1:31 a.m.
Created at: April 27, 2026, 9:42 a.m.