Triple

T37602526
Position Surface form Disambiguated ID Type / Status
Subject The Four Freshmen E935561 entity
Predicate notableAlbum P4 FINISHED
Object Four Freshmen and 5 Saxes
Four Freshmen and 5 Saxes is a jazz vocal harmony album by The Four Freshmen that showcases their intricate arrangements backed by a rich saxophone ensemble.
 E935561 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: Four Freshmen and 5 Saxes | Statement: [The Four Freshmen, notableAlbum, Four Freshmen and 5 Saxes]
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: Four Freshmen and 5 Saxes
Triple: [The Four Freshmen, notableAlbum, Four Freshmen and 5 Saxes]
Generated description
Four Freshmen and 5 Saxes is a jazz vocal harmony album by The Four Freshmen that showcases their intricate arrangements backed by a rich saxophone ensemble.

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_69f76ed0a85481909254a8a89090c826 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba8c8a1688190bba8f8fd6eadacb3 completed May 6, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40a80687c88190abab7c749bd61479 completed June 28, 2026, 4:50 a.m.
NEDg Description generation batch_6a40a87e4c008190b9a9c54dd789dbc2 completed June 28, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_6a40a901f21c8190ad963f201863a3b0 completed June 28, 2026, 4:54 a.m.
Created at: May 3, 2026, 4:18 p.m.