Triple

T24038608
Position Surface form Disambiguated ID Type / Status
Subject Mouse on Mars E595308 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object The Fall
The Fall was an influential English post-punk band formed in 1976 and led by the acerbic vocalist and songwriter Mark E. Smith, known for its prolific output, abrasive sound, and constantly changing lineup.
E362393 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 Fall | Statement: [Mouse on Mars, hasCollaboratedWith, The Fall]
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 Fall
Triple: [Mouse on Mars, hasCollaboratedWith, The Fall]
Generated description
The Fall was an influential English post-punk band formed in 1976 and led by the acerbic vocalist and songwriter Mark E. Smith, known for its prolific output, abrasive sound, and constantly changing lineup.

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_69e288bf45f08190a1b6ed8cd0b9e86b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d8d6ce7c8190a41b2d9b459881bf completed April 29, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f964cef9c81909933fd6967014262 completed May 21, 2026, 11:33 p.m.
NEDg Description generation batch_6a0f96fc18f481909bac6d5e98f3966e completed May 21, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_6a0f97e69c988190bfd0fb138248a226 completed May 21, 2026, 11:40 p.m.
Created at: April 17, 2026, 9:57 p.m.