Triple

T29626595
Position Surface form Disambiguated ID Type / Status
Subject Old Carthusian football club E755159 entity
Predicate alsoKnownAs P39 FINISHED
Object Old Carthusians F.C.
Old Carthusians F.C. is an English amateur football club composed mainly of former pupils of Charterhouse School, historically notable for its early success in competitions like the FA Cup.
E1876175 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: Old Carthusians F.C. | Statement: [Old Carthusian football club, alsoKnownAs, Old Carthusians F.C.]
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: Old Carthusians F.C.
Triple: [Old Carthusian football club, alsoKnownAs, Old Carthusians F.C.]
Generated description
Old Carthusians F.C. is an English amateur football club composed mainly of former pupils of Charterhouse School, historically notable for its early success in competitions like the FA Cup.

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_69f0ef86b6ec8190a87fff07fd983b1e completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66e60b3888190b3ac64f01ca699f5 completed May 2, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26617263bc8190af48491a1001deb3 completed June 8, 2026, 6:30 a.m.
NEDg Description generation batch_6a26656a3cdc81908287a8a2145d6cc6 completed June 8, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_6a266a6166a08190a3ec83291c005e7b completed June 8, 2026, 7:08 a.m.
Created at: April 28, 2026, 6:38 p.m.