Triple

T27574302
Position Surface form Disambiguated ID Type / Status
Subject Alan McGee E699415 entity
Predicate subjectOf P38 FINISHED
Object Creation Stories (film)
Creation Stories is a biographical drama film chronicling the wild, drug-fueled rise of Creation Records and its maverick founder Alan McGee within the British music scene.
E1781756 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: Creation Stories (film) | Statement: [Alan McGee, subjectOf, Creation Stories (film)]
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: Creation Stories (film)
Triple: [Alan McGee, subjectOf, Creation Stories (film)]
Generated description
Creation Stories is a biographical drama film chronicling the wild, drug-fueled rise of Creation Records and its maverick founder Alan McGee within the British music scene.

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_69ef6a4cb8b881909b3a8d630fd89df2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f62fee64148190b84b7a1b6e9cccbe completed May 2, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0d0ac188190a7b900e5556e5732 completed May 24, 2026, 10:20 a.m.
NEDg Description generation batch_6a12d1497cb4819085e9a1a5401d9118 completed May 24, 2026, 10:22 a.m.
NED2 Entity disambiguation (via description) batch_6a12d23dc1b48190aa7f52797b82db62 completed May 24, 2026, 10:26 a.m.
Created at: April 27, 2026, 2:01 p.m.