Triple

T32735365
Position Surface form Disambiguated ID Type / Status
Subject Down in the Weeds, Where the World Once Was E837063 entity
Predicate hasPart P35 FINISHED
Object Hot Car in the Sun
"Hot Car in the Sun" is a song featured on Bright Eyes' album *Down in the Weeds, Where the World Once Was*.
 E2019641 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: Hot Car in the Sun | Statement: [Down in the Weeds, Where the World Once Was, hasPart, Hot Car in the Sun]
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: Hot Car in the Sun
Triple: [Down in the Weeds, Where the World Once Was, hasPart, Hot Car in the Sun]
Generated description
"Hot Car in the Sun" is a song featured on Bright Eyes' album *Down in the Weeds, Where the World Once Was*.

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_69f34935fb048190ad4967420581f835 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c903b6f08190bbc7da098cc49806 completed May 3, 2026, 4:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a349eddcab081909e433fe3d126d345 completed June 19, 2026, 1:43 a.m.
NEDg Description generation batch_6a349f4d88188190ae528d9c43db380a completed June 19, 2026, 1:45 a.m.
NED2 Entity disambiguation (via description) batch_6a34a0e9b6d081908b6b402b092ba719 completed June 19, 2026, 1:52 a.m.
Created at: May 1, 2026, 1:12 a.m.