Triple
T21322999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Mallery |
E525668
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Dick Clark |
—
|
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: Dick Clark | Statement: [Barbara Mallery, spouse, Dick Clark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dick Clark Context triple: [Barbara Mallery, spouse, Dick Clark]
-
A.
Dick Clark
chosen
Dick Clark was a prominent American television and radio personality and producer best known for hosting "American Bandstand" and creating major music award shows.
-
B.
Mike Douglas
Mike Douglas was an American singer and television talk show host best known for "The Mike Douglas Show," a popular daytime program that ran from the 1960s through the early 1980s.
-
C.
Sam Goody
Sam Goody is a former American retail chain that specialized in selling music, movies, and related entertainment media.
-
D.
Keith Jackson
Keith Jackson was a legendary American sportscaster best known for his iconic college football play-by-play work and distinctive, folksy broadcasting style.
-
E.
Ernie McCracken
Ernie McCracken is the flamboyantly villainous professional bowler and main antagonist portrayed by Bill Murray in the comedy film "Kingpin."
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed355cc8190a305c1c48117fb9e |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:40 p.m.