Triple
T13491538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Early |
E318642
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Margaret Early |
E197328
|
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: Margaret Early | Statement: [Early, hasNotableBearer, Margaret Early]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Early Context triple: [Early, hasNotableBearer, Margaret Early]
-
A.
Margaret Early
chosen
Margaret Early was an American film actress active in the late 1930s and 1940s, known for her wholesome screen presence in Hollywood musicals and comedies.
-
B.
Margaret Whitton
Margaret Whitton was an American actress and director best known for her comedic film roles in the 1980s and 1990s, particularly in sports comedies.
-
C.
Margaret Booth
Margaret Booth was a pioneering American film editor and longtime MGM supervising editor whose career spanned the silent era through Hollywood’s Golden Age.
-
D.
Margaret Watson
Margaret Watson is a fictional character portrayed by American actress and consumer advocate Betty Furness.
-
E.
Margaret Nichols
Margaret Nichols was the wife of American film and television producer Hal Roach.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf4c66008190b287e0551889d7c8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76ba566c48190808857dd0bc3a871 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:43 p.m.