Triple

T29862778
Position Surface form Disambiguated ID Type / Status
Subject Cambridge Falls E758366 entity
Predicate settingFor P15599 FINISHED
Object adventures of Kate, Michael, and Emma
"Adventures of Kate, Michael, and Emma" is a fantasy book series for young readers that follows three siblings who discover magical books and embark on time-bending quests to save their family and world.
E1889352 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: adventures of Kate, Michael, and Emma | Statement: [Cambridge Falls, settingFor, adventures of Kate, Michael, and Emma]
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: adventures of Kate, Michael, and Emma
Triple: [Cambridge Falls, settingFor, adventures of Kate, Michael, and Emma]
Generated description
"Adventures of Kate, Michael, and Emma" is a fantasy book series for young readers that follows three siblings who discover magical books and embark on time-bending quests to save their family and world.

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_69f2245b4dec8190b85f664d918a00a5 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f676868f148190a6e39745c76e36ff completed May 2, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26f1c93d548190ab178a5b89138f5a completed June 8, 2026, 4:46 p.m.
NEDg Description generation batch_6a26f2b6ed148190bdfa9ce79ce2c87e completed June 8, 2026, 4:49 p.m.
NED2 Entity disambiguation (via description) batch_6a26f3e3934c8190affd23330fab3e3e completed June 8, 2026, 4:54 p.m.
Created at: April 29, 2026, 5:50 p.m.