Triple
T19213201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjorie Best |
E480408
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Marjorie Best |
—
|
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: Marjorie Best | Statement: [Marjorie Best, name, Marjorie Best]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marjorie Best Context triple: [Marjorie Best, name, Marjorie Best]
-
A.
Marjorie Best
chosen
Marjorie Best was an American costume designer known for her work in Hollywood films, including her Academy Award–winning designs.
-
B.
Marjorie Bach
Marjorie Bach is an American woman known for her marriage to Eagles guitarist Joe Walsh and as the sister of actress and model Barbara Bach.
-
C.
Marjorie Hearn
Marjorie Hearn was the longtime wife and partner of legendary Los Angeles Lakers broadcaster Chick Hearn.
-
D.
Marjorie Weaver
Marjorie Weaver was an American film actress of the 1930s and 1940s, known for her roles in Hollywood studio productions including several notable dramas and comedies.
-
E.
Marjorie Content
Marjorie Content was an American photographer and writer associated with early 20th-century modernist and literary circles.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa38c0e881908e9501ee21d0f266 |
completed | April 20, 2026, 10:04 a.m. |
Created at: April 10, 2026, 1:21 p.m.