Triple

T27204835
Position Surface form Disambiguated ID Type / Status
Subject Sun Midnight Sun E683833 entity
Predicate followedBy P78 FINISHED
Object Young in All the Wrong Ways
Young in All the Wrong Ways is a 2016 indie folk/rock album by American singer-songwriter Sara Watkins, noted for its more personal, confessional songwriting and fuller band sound compared to her earlier work.
E1761022 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: Young in All the Wrong Ways | Statement: [Sun Midnight Sun, followedBy, Young in All the Wrong Ways]
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: Young in All the Wrong Ways
Triple: [Sun Midnight Sun, followedBy, Young in All the Wrong Ways]
Generated description
Young in All the Wrong Ways is a 2016 indie folk/rock album by American singer-songwriter Sara Watkins, noted for its more personal, confessional songwriting and fuller band sound compared to her earlier work.

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_69eefad339a08190aeacb2a198f1a39b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f625e4327c8190aa93bdd93a046277 completed May 2, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12539f174c8190ad9268ebe931f20b completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a1254e819d48190bfabeb72a073bac3 completed May 24, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_6a12562f28108190bcba456c7c6b2429 completed May 24, 2026, 1:36 a.m.
Created at: April 27, 2026, 9:37 a.m.