Triple
T11686327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rita Hayworth |
E277752
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Volga Hayworth |
E277752
|
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: Volga Hayworth | Statement: [Rita Hayworth, mother, Volga Hayworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volga Hayworth Context triple: [Rita Hayworth, mother, Volga Hayworth]
-
A.
Volga Hayworth
chosen
Volga Hayworth was the mother of Hollywood actress Rita Hayworth and part of the family background that shaped the star's early life.
-
B.
Carole Landis
Carole Landis was an American film actress and World War II pin-up star known for her glamorous screen presence in 1940s Hollywood.
-
C.
Jo Harlow
Jo Harlow is a technology executive best known for leading mobile device and smartphone businesses at companies such as Nokia and later Microsoft.
-
D.
Alice Faye
Alice Faye was an American actress and singer best known as a 1930s–1940s Hollywood musical star at 20th Century Fox.
-
E.
Vina Wray
Vina Wray is an alternate name for Fay Wray, the Canadian-American actress best known for her iconic role in the 1933 film "King Kong."
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4654be881909bd0256cf18e25de |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a527dc08190a3ce08ddedaa5753 |
completed | May 2, 2026, 2:29 p.m. |
Created at: April 8, 2026, 9:40 p.m.