Triple
T7049520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris When It Sizzles |
E163728
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ray Walston |
E266966
|
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: Ray Walston | Statement: [Paris When It Sizzles, starring, Ray Walston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Walston Context triple: [Paris When It Sizzles, starring, Ray Walston]
-
A.
Ray Walston
chosen
Ray Walston was an American character actor best known for his roles in the TV series "My Favorite Martian" and films such as "Fast Times at Ridgemont High" and "Picket Fences."
-
B.
Leo Chapman
Leo Chapman was the first husband of prominent American suffragist and peace activist Carrie Chapman Catt.
-
C.
Richard Marden
Richard Marden was a British film editor known for his work on notable mid-20th-century films, including adaptations of classic literature.
-
D.
Alan Baxter
Alan Baxter was an American character actor known for his roles in mid-20th-century film and television, often portraying tough or villainous figures.
-
E.
Bert Whalley
Bert Whalley was an English football coach and former player for Manchester United who tragically died in the 1958 Munich air disaster.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e24d5e8c8190b37e56107e6da8ab |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7944535bc819086b7648d95b81e37 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:37 p.m.