Triple
T34009947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Diamond Queen: Elizabeth II and Her People |
E872079
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
James Quinn
James Quinn is a television producer best known for serving as executive producer of the documentary series "The Diamond Queen: Elizabeth II and Her People."
|
E2077615
|
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: James Quinn | Statement: [The Diamond Queen: Elizabeth II and Her People, executiveProducer, James Quinn]
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: James Quinn Triple: [The Diamond Queen: Elizabeth II and Her People, executiveProducer, James Quinn]
Generated description
James Quinn is a television producer best known for serving as executive producer of the documentary series "The Diamond Queen: Elizabeth II and Her People."
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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70aef1d04819080add0f4b2eb2acf |
completed | May 3, 2026, 8:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3692ed74408190ab19abe0286eb0d2 |
completed | June 20, 2026, 1:17 p.m. |
| NEDg | Description generation | batch_6a3693c6c72081908b00643cc42b85d1 |
completed | June 20, 2026, 1:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3694b83d048190a29c179e9407f41f |
completed | June 20, 2026, 1:25 p.m. |
Created at: May 1, 2026, 1:51 a.m.