Triple

T34896669
Position Surface form Disambiguated ID Type / Status
Subject Cecelia Ahern E1006453 entity
Predicate notableWork P4 FINISHED
Object A Place Called Here
A Place Called Here is a contemporary novel by Cecelia Ahern that explores the mysterious disappearance of people and the liminal space they may inhabit, blending magical realism with themes of loss and belonging.
 E2116571 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: A Place Called Here | Statement: [Cecelia Ahern, notableWork, A Place Called Here]
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: A Place Called Here
Triple: [Cecelia Ahern, notableWork, A Place Called Here]
Generated description
A Place Called Here is a contemporary novel by Cecelia Ahern that explores the mysterious disappearance of people and the liminal space they may inhabit, blending magical realism with themes of loss and belonging.

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_69f76dbfe5788190ad8b64f241f470c8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f781c35d8081909bc0094191f7ea5b completed May 3, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786e654588190b4c79cf15f6b8618 completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a378ba8df548190b5e4c9be64126b7a completed June 21, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_6a378c19bdf481908c9f54f533bd34f2 completed June 21, 2026, 7 a.m.
Created at: May 3, 2026, 4 p.m.