Triple

T38321438
Position Surface form Disambiguated ID Type / Status
Subject Labriola E1036674 entity
Predicate hasNotableBearer P458 FINISHED
Object Mark Labriola II
Mark Labriola II is a musician and vocalist best known as the lead singer of the Christian rock band Foolish Things.
E2266588 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: Mark Labriola II | Statement: [Labriola, hasNotableBearer, Mark Labriola II]
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: Mark Labriola II
Triple: [Labriola, hasNotableBearer, Mark Labriola II]
Generated description
Mark Labriola II is a musician and vocalist best known as the lead singer of the Christian rock band Foolish Things.

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_69f76e1c16fc8190bde982289dd5106b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc689927c8190bb0f1f9f30c08869 completed May 7, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41a7e5cdd4819093590128a50b5d36 completed June 28, 2026, 11:01 p.m.
NEDg Description generation batch_6a41abbbc4808190bb6dcdc8e00e9ad4 completed June 28, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a41abe02a188190806ffb454e800beb completed June 28, 2026, 11:18 p.m.
Created at: May 3, 2026, 4:30 p.m.