Triple

T32728254
Position Surface form Disambiguated ID Type / Status
Subject Blood Loss E836876 entity
Predicate composer P1361 FINISHED
Object Brian Fallon
Brian Fallon is an American singer-songwriter and guitarist best known as the frontman of the rock band The Gaslight Anthem and for his solo work blending punk, folk, and heartland rock influences.
E207216 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: Brian Fallon | Statement: [Blood Loss, composer, Brian Fallon]
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: Brian Fallon
Triple: [Blood Loss, composer, Brian Fallon]
Generated description
Brian Fallon is an American singer-songwriter and guitarist best known as the frontman of the rock band The Gaslight Anthem and for his solo work blending punk, folk, and heartland rock influences.

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_69f34935fb048190ad4967420581f835 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c8bac5848190b4838bcc7d95a872 completed May 3, 2026, 4:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36655b6df88190882de95dc44d1def completed June 20, 2026, 10:03 a.m.
NEDg Description generation batch_6a3665c7e2f081908716abd9915e7363 completed June 20, 2026, 10:04 a.m.
NED2 Entity disambiguation (via description) batch_6a36662dd8dc8190be581a0d957a2ddc completed June 20, 2026, 10:06 a.m.
Created at: May 1, 2026, 1:11 a.m.