Triple

T26102151
Position Surface form Disambiguated ID Type / Status
Subject Riz Ortolani E658435 entity
Predicate notableWork P4 FINISHED
Object Goodbye Uncle Tom (score)
Goodbye Uncle Tom (score) is Riz Ortolani’s orchestral and choral film soundtrack, known for its dramatic, haunting themes that accompany the controversial 1971 pseudo-documentary about slavery.
 E1707666 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: Goodbye Uncle Tom (score) | Statement: [Riz Ortolani, notableWork, Goodbye Uncle Tom (score)]
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: Goodbye Uncle Tom (score)
Triple: [Riz Ortolani, notableWork, Goodbye Uncle Tom (score)]
Generated description
Goodbye Uncle Tom (score) is Riz Ortolani’s orchestral and choral film soundtrack, known for its dramatic, haunting themes that accompany the controversial 1971 pseudo-documentary about slavery.

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_69ee5bc09c288190bc42a11972841383 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f6077370d081908074987cb49c4ee9 completed May 2, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b4424708190b6ad44e1875154cf completed May 23, 2026, 3:13 a.m.
NEDg Description generation batch_6a111c3a2efc8190a6eb67e673603c2b completed May 23, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_6a111cdb99b48190887114a6ec92a03f completed May 23, 2026, 3:19 a.m.
Created at: April 26, 2026, 7:55 p.m.