Triple
T5157101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Saunders |
E116337
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Fay Wray |
E4506
|
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: Fay Wray | Statement: [Susan Saunders, notableRelative, Fay Wray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fay Wray Context triple: [Susan Saunders, notableRelative, Fay Wray]
-
A.
Fay Wray
chosen
Fay Wray was a Canadian-American actress best known for her iconic role as the damsel Ann Darrow in the classic 1933 film "King Kong."
-
B.
Maureen O'Brien
Maureen O'Brien is a British actress best known for playing the First Doctor’s companion Vicki in the classic science fiction television series Doctor Who.
-
C.
Clara Bow
Clara Bow was a hugely popular American silent film actress of the 1920s, famously known as the original "It Girl" and a defining sex symbol of the Jazz Age.
-
D.
Merle Oberon
Merle Oberon was a British-Indian actress best known for her glamorous Hollywood career in the 1930s and 1940s, including acclaimed performances in classic romantic dramas.
-
E.
Jean Harlow
Jean Harlow was a legendary American film actress and 1930s sex symbol known for her platinum blonde image and starring roles in early Hollywood comedies and dramas.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7902fbe48190abb58cb0b2b2b62d |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee07283c08190a8fc23d3041275ee |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:44 p.m.