Triple

T33916834
Position Surface form Disambiguated ID Type / Status
Subject Anne Fine E869482 entity
Predicate notableWork P4 FINISHED
Object The More the Merrier
The More the Merrier is a humorous children's novel by British author Anne Fine that follows the chaotic dynamics of a large, crowded family.
 E2073938 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: The More the Merrier | Statement: [Anne Fine, notableWork, The More the Merrier]
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: The More the Merrier
Triple: [Anne Fine, notableWork, The More the Merrier]
Generated description
The More the Merrier is a humorous children's novel by British author Anne Fine that follows the chaotic dynamics of a large, crowded family.

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_69f3499869bc8190b6c33a81686af226 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f701b5f764819092a963c324d4d977 completed May 3, 2026, 8:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36824de5c481909f8cc5f4cb2da8cd completed June 20, 2026, 12:06 p.m.
NEDg Description generation batch_6a3682dfc590819087dfb9300523ad9d completed June 20, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_6a36848c2cd88190b28d40551392741b completed June 20, 2026, 12:16 p.m.
Created at: May 1, 2026, 1:48 a.m.