Triple

T31369602
Position Surface form Disambiguated ID Type / Status
Subject Daylight Again E800113 entity
Predicate notableSingle P3283 FINISHED
Object Southern Cross
"Southern Cross" is a popular 1982 folk-rock song by Crosby, Stills & Nash that reflects on love, loss, and spiritual searching through a sailing journey across the South Pacific.
E1962869 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: Southern Cross | Statement: [Daylight Again, notableSingle, Southern Cross]
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: Southern Cross
Triple: [Daylight Again, notableSingle, Southern Cross]
Generated description
"Southern Cross" is a popular 1982 folk-rock song by Crosby, Stills & Nash that reflects on love, loss, and spiritual searching through a sailing journey across the South Pacific.

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_69f224e6b7448190ac6bf97ad7364160 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69f88eaec8190b96595465b7fa83e completed May 3, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b0763c0548190b4cf87f4fbf924e3 completed June 11, 2026, 7:07 p.m.
NEDg Description generation batch_6a2b09c0412c8190bd3dc544eff91771 completed June 11, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_6a2b0a76a7388190b77fbeefb1b6b26e completed June 11, 2026, 7:20 p.m.
Created at: April 29, 2026, 9:18 p.m.