Triple

T28150445
Position Surface form Disambiguated ID Type / Status
Subject Chas Smash E714605 entity
Predicate alsoKnownAs P39 FINISHED
Object Cathal Smyth
Cathal Smyth is an English musician and songwriter best known as a founding member, backing vocalist, and dancer for the ska band Madness, where he performed under the stage name Chas Smash.
E1912283 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: Cathal Smyth | Statement: [Chas Smash, alsoKnownAs, Cathal Smyth]
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: Cathal Smyth
Triple: [Chas Smash, alsoKnownAs, Cathal Smyth]
Generated description
Cathal Smyth is an English musician and songwriter best known as a founding member, backing vocalist, and dancer for the ska band Madness, where he performed under the stage name Chas Smash.

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_69efd6b033208190bf74f80a147e2092 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f64176b968819086c8f49937c07134 completed May 2, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a278915860c8190bb215b7d8fd313ac completed June 9, 2026, 3:31 a.m.
NEDg Description generation batch_6a278a1d4c0881909d4e6ae051872ba5 completed June 9, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_6a278b7daf3c819090c29e305656692d completed June 9, 2026, 3:41 a.m.
Created at: April 27, 2026, 9:59 p.m.