Triple

T36868422
Position Surface form Disambiguated ID Type / Status
Subject Ghost Stories of an Antiquary E911151 entity
Predicate hasPart P35 FINISHED
Object The Ash-tree
"The Ash-tree" is a classic ghost story by M. R. James, noted for its eerie atmosphere and sinister supernatural elements involving a cursed tree.
 E2203524 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 Ash-tree | Statement: [Ghost Stories of an Antiquary, hasPart, The Ash-tree]
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 Ash-tree
Triple: [Ghost Stories of an Antiquary, hasPart, The Ash-tree]
Generated description
"The Ash-tree" is a classic ghost story by M. R. James, noted for its eerie atmosphere and sinister supernatural elements involving a cursed tree.

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_69f76e80f6f0819091cba8e19b269615 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cff094b88190b4864a4971a76e1b completed May 3, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfae4007c819090d9b60a4f89bd59 completed June 26, 2026, 4:07 a.m.
NEDg Description generation batch_6a3e01beddc88190be3485eada3b9de9 completed June 26, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_6a3e0a67077c8190878fcee9afd52519 completed June 26, 2026, 5:13 a.m.
Created at: May 3, 2026, 4:13 p.m.