Triple
T28256246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamie Johnson |
E712453
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Born Rich
Born Rich is a 2003 documentary film directed by heir Jamie Johnson that explores the lives, attitudes, and privileges of young people born into extreme wealth.
|
E1807425
|
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: Born Rich | Statement: [Jamie Johnson, notableWork, Born Rich]
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: Born Rich Triple: [Jamie Johnson, notableWork, Born Rich]
Generated description
Born Rich is a 2003 documentary film directed by heir Jamie Johnson that explores the lives, attitudes, and privileges of young people born into extreme wealth.
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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f643f4b1448190b5db963c0f041f9b |
completed | May 2, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15e6dcc95c8190af9ea81d23f115de |
completed | May 26, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_6a15e7a749e88190a6a38cac563a2931 |
completed | May 26, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15e8241cec819092154414d2bb5cad |
completed | May 26, 2026, 6:36 p.m. |
Created at: April 27, 2026, 11:08 p.m.