Triple
T4623218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fortune Cookie |
E101034
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Walter Matthau |
E207432
|
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: Walter Matthau | Statement: [The Fortune Cookie, starring, Walter Matthau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Matthau Context triple: [The Fortune Cookie, starring, Walter Matthau]
-
A.
Walter Matthau
chosen
Walter Matthau was an American actor renowned for his gruff charm and comedic roles in films such as "The Odd Couple" and "The Bad News Bears."
-
B.
Charles Matthau
Charles Matthau is an American film and television director and producer, and the son of actor Walter Matthau.
-
C.
Jonathan Winters
Jonathan Winters was an influential American comedian and actor renowned for his improvisational genius, character work, and pioneering impact on modern stand-up and sketch comedy.
-
D.
Harvey Korman
Harvey Korman was an American comedic actor best known for his work on *The Carol Burnett Show* and in Mel Brooks films such as *Blazing Saddles* and *History of the World, Part I*.
-
E.
Fred Willard
Fred Willard was an American comedic actor and improviser known for his deadpan delivery and scene-stealing roles in mockumentaries like "Best in Show" and numerous television comedies.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a053d38819097b3ecbc06aa6e4d |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be035d661c8190b4ef7d4531170f73 |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:12 p.m.