Triple
T21823610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LA to Vegas |
E538791
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Lon Zimmet |
—
|
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: Lon Zimmet | Statement: [LA to Vegas, executiveProducer, Lon Zimmet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lon Zimmet Context triple: [LA to Vegas, executiveProducer, Lon Zimmet]
-
A.
Lon Zimmet
chosen
Lon Zimmet is an American television writer and producer best known for creating the Fox comedy series "LA to Vegas."
-
B.
Marc Mezvinsky
Marc Mezvinsky is an American investment banker best known as the husband of Chelsea Clinton and son-in-law of former U.S. President Bill Clinton and former Secretary of State Hillary Clinton.
-
C.
James Bidzos
James Bidzos is a technology executive and entrepreneur best known for leading and shaping VeriSign into a major provider of internet infrastructure and security services.
-
D.
Michele Fazekas
Michele Fazekas is an American television writer and producer best known for co-creating and producing series such as "Emergence" and "Agent Carter."
-
E.
John Zaremba
John Zaremba was an American character actor known for his frequent roles in 1950s–1960s science fiction films and television series.
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0912f69f08190b06c718aa35c2bf0 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:54 p.m.