Triple
T29778363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sale of the Century (Australian game show) |
E755442
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object |
Alyce Platt
Alyce Platt is an Australian actress, singer, and television presenter best known for her work on popular game shows and drama series in the 1980s and 1990s.
|
E1932102
|
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: Alyce Platt | Statement: [Sale of the Century (Australian game show), presenter, Alyce Platt]
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: Alyce Platt Triple: [Sale of the Century (Australian game show), presenter, Alyce Platt]
Generated description
Alyce Platt is an Australian actress, singer, and television presenter best known for her work on popular game shows and drama series in the 1980s and 1990s.
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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f674a363848190814f687a63333026 |
completed | May 2, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28b068dcdc8190a848d622ace57e13 |
completed | June 10, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a28b1cd9e78819093ff46123d12a12e |
completed | June 10, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28b2b2c9fc8190af8deaeceb76e5f9 |
completed | June 10, 2026, 12:41 a.m. |
Created at: April 28, 2026, 8:48 p.m.