Triple

T23826657
Position Surface form Disambiguated ID Type / Status
Subject Walt Grace's Submarine Test, January 1967 E589394 entity
Predicate composer P1361 FINISHED
Object John Mayer
John Mayer is an American singer-songwriter and guitarist known for his blues-influenced pop-rock music, virtuosic guitar playing, and introspective songwriting.
E26841 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: John Mayer | Statement: [Walt Grace's Submarine Test, January 1967, composer, John Mayer]
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: John Mayer
Triple: [Walt Grace's Submarine Test, January 1967, composer, John Mayer]
Generated description
John Mayer is an American singer-songwriter and guitarist known for his blues-influenced pop-rock music, virtuosic guitar playing, and introspective songwriting.

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_69e25d1922d481909cab567c06a802ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c7f23ed08190bc2b86ccb2b81611 completed April 29, 2026, 8:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f75e750dc8190b7c8d08895a8fd76 completed May 21, 2026, 9:15 p.m.
NEDg Description generation batch_6a0f767286c08190a694713418eac5a9 completed May 21, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0f77a3c6e4819080c8b07fc9dd5b62 completed May 21, 2026, 9:22 p.m.
Created at: April 17, 2026, 8 p.m.