Triple
T9795221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Masks |
E237700
|
entity |
| Predicate | producedBy |
P490
|
FINISHED |
| Object | William Froug |
E927177
|
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: William Froug | Statement: [The Masks, producedBy, William Froug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Froug Context triple: [The Masks, producedBy, William Froug]
-
A.
William Froug
chosen
William Froug was an American television producer, writer, and educator best known for his work on classic series such as The Twilight Zone.
-
B.
William Fagan
William Fagan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Fagan.
-
C.
Joseph Flavelle
Joseph Flavelle was a prominent Canadian businessman and philanthropist who became one of Toronto’s leading meat packers and a key figure in national economic and charitable affairs in the late 19th and early 20th centuries.
-
D.
Charles Rettig
Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
-
E.
Jean Fetter
Jean Fetter is a British-born American psychologist and former dean of admissions at Stanford University, known for her work in higher education and advocacy for women in science and academia.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34916dc8190acef2ba003e56a33 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6035cf86081909603cec9aa5bd9d6 |
completed | April 20, 2026, 10:43 a.m. |
Created at: March 30, 2026, 8:28 p.m.