Triple
T27047341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koyaanisqatsi (film score) |
E684677
|
entity |
| Predicate | partOfSeries |
P1761
|
FINISHED |
| Object |
Qatsi trilogy
The Qatsi trilogy is a series of three experimental, dialogue-free documentary films directed by Godfrey Reggio that explore the relationship between humans, technology, and nature, set to minimalist scores by Philip Glass.
|
E1753603
|
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: Qatsi trilogy | Statement: [Koyaanisqatsi (film score), partOfSeries, Qatsi trilogy]
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: Qatsi trilogy Triple: [Koyaanisqatsi (film score), partOfSeries, Qatsi trilogy]
Generated description
The Qatsi trilogy is a series of three experimental, dialogue-free documentary films directed by Godfrey Reggio that explore the relationship between humans, technology, and nature, set to minimalist scores by Philip Glass.
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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f622acea248190a90c685058f42184 |
completed | May 2, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a123ac60e608190b1d9f742a6ef2328 |
completed | May 23, 2026, 11:39 p.m. |
| NEDg | Description generation | batch_6a123b7235d081909cc231c0b1cc9b30 |
completed | May 23, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a123c1995688190a630954191d4e905 |
completed | May 23, 2026, 11:45 p.m. |
Created at: April 27, 2026, 8:11 a.m.