Triple
T16161801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Box Office |
E392196
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Jon Lovitz |
E302675
|
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: Jon Lovitz | Statement: [Mr. Box Office, stars, Jon Lovitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Lovitz Context triple: [Mr. Box Office, stars, Jon Lovitz]
-
A.
Jon Lovitz
chosen
Jon Lovitz is an American comedian and actor best known for his work on "Saturday Night Live" and numerous comedic film and television roles.
-
B.
Ted McGinley
Ted McGinley is an American actor best known for his roles on television series such as "Married... with Children," "Happy Days," and "The Love Boat."
-
C.
Dave Foley
Dave Foley is a Canadian actor, comedian, and writer best known as a founding member of the sketch comedy troupe The Kids in the Hall and for starring in the sitcom NewsRadio.
-
D.
David L. Lander
David L. Lander was an American actor and comedian best known for playing the quirky character Andrew "Squiggy" Squiggman on the sitcom *Laverne & Shirley*.
-
E.
David Conner
David Conner was a United States Navy officer best known for commanding American naval forces in the Gulf of Mexico during the Mexican–American War.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5ffba88190b9dc7bb9afb6fdf2 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025f183d88190b269233ff6e65d75 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.