Triple
T13609039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norm Peterson |
E325138
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | James Burrows |
E335598
|
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: James Burrows | Statement: [Norm Peterson, createdBy, James Burrows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Burrows Context triple: [Norm Peterson, createdBy, James Burrows]
-
A.
James Burrows
chosen
James Burrows is an American television director and producer best known for his influential work on classic sitcoms such as "Cheers," "Taxi," and "Will & Grace."
-
B.
Tony Burrows
Tony Burrows is a British session singer best known for providing lead vocals on numerous early 1970s pop hits for different studio bands, including Edison Lighthouse, White Plains, and Brotherhood of Man.
-
C.
John Burrows
John Burrows is a fictional character featured in the 1951 British drama film "Journey into Light."
-
D.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
E.
Michael Gwynn
Michael Gwynn was a British character actor known for his roles in mid-20th-century film and television, including appearances in classic horror and science fiction productions.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07f462c8190b5b5e115d550037f |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce60b1248190addfbfc1c5ccd2d1 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 9:50 p.m.