Triple

T33132977
Position Surface form Disambiguated ID Type / Status
Subject Gerald Wiggins E847922 entity
Predicate notableWork P4 FINISHED
Object The King and I (album)
The King and I is a jazz album by pianist Gerald Wiggins featuring interpretations of songs from the Rodgers and Hammerstein musical "The King and I."
E2037504 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: The King and I (album) | Statement: [Gerald Wiggins, notableWork, The King and I (album)]
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: The King and I (album)
Triple: [Gerald Wiggins, notableWork, The King and I (album)]
Generated description
The King and I is a jazz album by pianist Gerald Wiggins featuring interpretations of songs from the Rodgers and Hammerstein musical "The King and I."

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_69f3495961d88190b16ea542c2c5f825 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d83428bc8190bb1324872c413372 completed May 3, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35161d099481909d7f9a4c2e7dfbca completed June 19, 2026, 10:12 a.m.
NEDg Description generation batch_6a3516dbe1988190a7f496d7b7e8a8b8 completed June 19, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_6a35178f9d508190abd1a965adb82e98 completed June 19, 2026, 10:18 a.m.
Created at: May 1, 2026, 1:27 a.m.