Triple
T21480828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tammy and the Doctor |
E529983
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Macdonald Carey |
—
|
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: Macdonald Carey | Statement: [Tammy and the Doctor, stars, Macdonald Carey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macdonald Carey Context triple: [Tammy and the Doctor, stars, Macdonald Carey]
-
A.
Macdonald Carey
chosen
Macdonald Carey was an American actor best known for his long-running role as Dr. Tom Horton on the soap opera "Days of Our Lives."
-
B.
Glen MacPherson
Glen MacPherson is a Canadian cinematographer known for his work on action and genre films in both Hollywood and international productions.
-
C.
Fergus McMaster
Fergus McMaster was an Australian businessman best known as a co-founder and early chairman of Qantas, helping to establish it as a pioneering national airline.
-
D.
John MacDougall
John MacDougall was a Scottish Labour politician who served as a Member of Parliament representing a constituency including Glenrothes.
-
E.
William Christopher Macdonald
William Christopher Macdonald was a Canadian tobacco manufacturer and philanthropist best known for his major endowments to education, including funding institutions such as the Macdonald Institute.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea1b0130819088b8e96ddbb29317 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:20 p.m.