Triple
T21542830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Grover Franciscus |
E531536
|
entity |
| Predicate | televisionSeries |
P3279
|
FINISHED |
| Object | Mr. Novak |
—
|
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: Mr. Novak | Statement: [James Grover Franciscus, televisionSeries, Mr. Novak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Novak Context triple: [James Grover Franciscus, televisionSeries, Mr. Novak]
-
A.
Mr. Novak
chosen
Mr. Novak is an American television drama series from the 1960s centered on a compassionate high school English teacher navigating educational and social issues.
-
B.
Mr. Franks
Mr. Franks is a music producer best known for his work with the hip-hop collective Legend.
-
C.
Mr. Shaibel
Mr. Shaibel is the quiet, janitor-turned-mentor from "The Queen's Gambit" who introduces Beth Harmon to chess and profoundly shapes her early development as a prodigy.
-
D.
Mr. Dibiasky
Mr. Dibiasky is a supporting character in the film "Don't Look Up," known primarily as the father of astronomer Kate Dibiasky.
-
E.
John Norville
John Norville is a screenwriter best known for co-writing the story for Disney's adventure film "Jungle Cruise."
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58c34808190b0eb54ba01e2cc13 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.