Triple

T32194406
Position Surface form Disambiguated ID Type / Status
Subject Still Valley E822366 entity
Predicate basedOn P98 FINISHED
Object The Valley Was Still
"The Valley Was Still" is a short story by Manly Wade Wellman that blends supernatural horror with themes of power and temptation in a secluded Southern valley.
E1995595 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 Valley Was Still | Statement: [Still Valley, basedOn, The Valley Was Still]
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 Valley Was Still
Triple: [Still Valley, basedOn, The Valley Was Still]
Generated description
"The Valley Was Still" is a short story by Manly Wade Wellman that blends supernatural horror with themes of power and temptation in a secluded Southern valley.

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_69f3490819cc81909bae1f8ce99423c5 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bb35e9a08190bb96bb25c32e0812 completed May 3, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0bec98288190b1480ba26b1e4eb6 completed June 14, 2026, 8:15 p.m.
NEDg Description generation batch_6a2f0ca5db008190a1de72d58c55d0bb completed June 14, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_6a2f0e1ead7c8190bada929583412e06 completed June 14, 2026, 8:25 p.m.
Created at: May 1, 2026, 12:35 a.m.