Triple

T36094890
Position Surface form Disambiguated ID Type / Status
Subject Steve McQueen as Captain Buzz Rickson E1044031 entity
Predicate characterName P36851 FINISHED
Object Captain Buzz Rickson
Captain Buzz Rickson is a daring but reckless World War II bomber pilot portrayed by Steve McQueen in the 1962 film "The War Lover."
E2169227 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: Captain Buzz Rickson | Statement: [Steve McQueen as Captain Buzz Rickson, characterName, Captain Buzz Rickson]
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: Captain Buzz Rickson
Triple: [Steve McQueen as Captain Buzz Rickson, characterName, Captain Buzz Rickson]
Generated description
Captain Buzz Rickson is a daring but reckless World War II bomber pilot portrayed by Steve McQueen in the 1962 film "The War Lover."

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_69f76e32d60c8190ba781ffaaab4aa3d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b26b00208190b3ee9fb823dca94f completed May 3, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38d548b13c81908ec69adcf5642e98 completed June 22, 2026, 6:25 a.m.
NEDg Description generation batch_6a38d64468f08190ba160ebe4a354e0a completed June 22, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_6a38d6c863988190b3dd7550bd38880d completed June 22, 2026, 6:31 a.m.
Created at: May 3, 2026, 4:08 p.m.