Triple

T25749933
Position Surface form Disambiguated ID Type / Status
Subject Gift Horse E648445 entity
Predicate followedBy P78 FINISHED
Object Really Good by David Shrigley
"Really Good" by David Shrigley is a large bronze sculpture of an exaggerated thumbs-up that was installed on Trafalgar Square’s Fourth Plinth in London, intended as a satirical yet optimistic commentary on contemporary society and public art.
E1694982 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: Really Good by David Shrigley | Statement: [Gift Horse, followedBy, Really Good by David Shrigley]
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: Really Good by David Shrigley
Triple: [Gift Horse, followedBy, Really Good by David Shrigley]
Generated description
"Really Good" by David Shrigley is a large bronze sculpture of an exaggerated thumbs-up that was installed on Trafalgar Square’s Fourth Plinth in London, intended as a satirical yet optimistic commentary on contemporary society and public art.

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_69e7ab314d788190b3abe19e114080e1 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5fd7df2ac8190a206646c8640cec0 completed May 2, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cc0da1b08190833dc613bc46ce79 completed May 22, 2026, 9:35 p.m.
NEDg Description generation batch_6a10cc9f320c8190b958be1f0075cd8f completed May 22, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_6a10cdf129d88190ad9c8fe88ce77db9 completed May 22, 2026, 9:43 p.m.
Created at: April 22, 2026, 4:33 a.m.