Triple

T30565090
Position Surface form Disambiguated ID Type / Status
Subject Love Spit Love E777947 entity
Predicate hasMember P10 FINISHED
Object James Mastro
James Mastro is an American guitarist and songwriter best known for his work with alternative rock bands such as The Bongos and his collaborations with artists like Ian Hunter.
E2128484 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: James Mastro | Statement: [Love Spit Love, hasMember, James Mastro]
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: James Mastro
Triple: [Love Spit Love, hasMember, James Mastro]
Generated description
James Mastro is an American guitarist and songwriter best known for his work with alternative rock bands such as The Bongos and his collaborations with artists like Ian Hunter.

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_69f2249ed41c8190b175170ecfd6e1c5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6890d8cc0819080615205c4bc9b60 completed May 2, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37faf10df88190851cc01ceb32bf51 completed June 21, 2026, 2:53 p.m.
NEDg Description generation batch_6a37fb60247881909a9c8f5b3abafcc7 completed June 21, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_6a37fbc5b384819082e85c6d9de3d3fc completed June 21, 2026, 2:57 p.m.
Created at: April 29, 2026, 8:21 p.m.