Triple

T28270194
Position Surface form Disambiguated ID Type / Status
Subject The Courtneys of Curzon Street E712824 entity
Predicate character P662 FINISHED
Object Kate O’Halloran
Kate O’Halloran is a fictional character from the British period drama film "The Courtneys of Curzon Street," which follows the intertwined lives of an upper-class family and their Irish maid over several decades.
E1862941 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: Kate O’Halloran | Statement: [The Courtneys of Curzon Street, character, Kate O’Halloran]
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: Kate O’Halloran
Triple: [The Courtneys of Curzon Street, character, Kate O’Halloran]
Generated description
Kate O’Halloran is a fictional character from the British period drama film "The Courtneys of Curzon Street," which follows the intertwined lives of an upper-class family and their Irish maid over several decades.

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_69efb5216c6881908020dce4aea65381 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f64420b9a08190a15d872eb1a130c9 completed May 2, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a8323f548190a280bbba933bb224 completed June 7, 2026, 5:19 p.m.
NEDg Description generation batch_6a25acb956e0819081699c2a218afbc8 completed June 7, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_6a25b13b60088190bfe08fd65547a593 completed June 7, 2026, 5:58 p.m.
Created at: April 27, 2026, 11:17 p.m.