Triple

T25177214
Position Surface form Disambiguated ID Type / Status
Subject The Thin Red Line E630480 entity
Predicate commander P1061 FINISHED
Object Sir Colin Campbell
Sir Colin Campbell was a distinguished 19th-century British Army officer and field marshal, renowned for his leadership during the Crimean War and the Indian Rebellion of 1857.
E1665899 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: Sir Colin Campbell | Statement: [The Thin Red Line, commander, Sir Colin Campbell]
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: Sir Colin Campbell
Triple: [The Thin Red Line, commander, Sir Colin Campbell]
Generated description
Sir Colin Campbell was a distinguished 19th-century British Army officer and field marshal, renowned for his leadership during the Crimean War and the Indian Rebellion of 1857.

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_69e75a88fdf081908e47ae6e195c14e1 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f46dc1ddd0819089722f45adc50d84 completed May 1, 2026, 9:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105d1bc9cc81909fdf249b3374d831 completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105dd1e43c8190b10f80fbfa0d1b87 completed May 22, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_6a105e720558819080a749cd92cd6fc9 completed May 22, 2026, 1:47 p.m.
Created at: April 21, 2026, 12:34 p.m.