Triple
T23493679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Worlds |
E571642
|
entity |
| Predicate | notableContributor |
P304
|
FINISHED |
| Object | Charles Platt |
—
|
NE NERFINISHED |
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: Charles Platt | Statement: [New Worlds, notableContributor, Charles Platt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Platt Context triple: [New Worlds, notableContributor, Charles Platt]
-
A.
Charles Platt
chosen
Charles Platt is a British-born science fiction author and critic known for his experimental New Wave works and influential role in the science fiction community.
-
B.
Alan Webb
Alan Webb was a British character actor known for his distinguished stage and film career in mid-20th-century England.
-
C.
Richard Blais
Richard Blais is an American chef, restaurateur, and television personality known for his inventive, modernist cooking and frequent appearances on culinary competition shows.
-
D.
Daniel Patterson
Daniel Patterson was the first husband of Mary Baker Eddy, the founder of Christian Science.
-
E.
Wolfgang Puck
Wolfgang Puck is an Austrian-American celebrity chef, restaurateur, and businessman known for his innovative fusion cuisine and influential fine-dining and casual restaurant empire.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7de1ab88190b6c2441c63a99713 |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:05 p.m.