Triple

T31244415
Position Surface form Disambiguated ID Type / Status
Subject Children Children E796650 entity
Predicate recordedBy P1165 FINISHED
Object Wings
Wings was a British-American rock band formed by Paul McCartney after The Beatles, known for its melodic pop-rock sound and major 1970s hits like "Band on the Run" and "Live and Let Die."
E43654 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: Wings | Statement: [Children Children, recordedBy, Wings]
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: Wings
Triple: [Children Children, recordedBy, Wings]
Generated description
Wings was a British-American rock band formed by Paul McCartney after The Beatles, known for its melodic pop-rock sound and major 1970s hits like "Band on the Run" and "Live and Let Die."

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_69f224dc84d0819081f1cb6f9127e6b1 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69d50cd8481909267d0fc4052b1b7 completed May 3, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a71f69f8c8190a3b032fde68098db completed June 11, 2026, 8:29 a.m.
NEDg Description generation batch_6a2a72a8a97481909659483ae80ecd40 completed June 11, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_6a2a8ffddc948190be18c84348a42791 completed June 11, 2026, 10:37 a.m.
Created at: April 29, 2026, 9:11 p.m.