Triple

T26613398
Position Surface form Disambiguated ID Type / Status
Subject Kolton Stewart E667988 entity
Predicate performerIn P17435 FINISHED
Object I Declare War
"I Declare War" is a Canadian family comedy film in which a group of children’s imaginative war game blurs the line between play and reality.
 E1735001 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: I Declare War | Statement: [Kolton Stewart, performerIn, I Declare War]
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: I Declare War
Triple: [Kolton Stewart, performerIn, I Declare War]
Generated description
"I Declare War" is a Canadian family comedy film in which a group of children’s imaginative war game blurs the line between play and reality.

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_69ee9cfe16088190a3dddd68e3c7b1ea completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f615ab004c8190940650384f1e161c completed May 2, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec2469988190a71fc481a91a954d completed May 23, 2026, 6:04 p.m.
NEDg Description generation batch_6a11ed8f691081908dc4eeb38b8a56cd completed May 23, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_6a11ee308af88190b08944270a2fd1d8 completed May 23, 2026, 6:13 p.m.
Created at: April 27, 2026, 2:17 a.m.