Triple
T580054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katharine Hepburn |
E15036
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Katharine Hepburn |
E15036
|
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: Katharine Hepburn | Statement: [Katharine Hepburn, name, Katharine Hepburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katharine Hepburn Context triple: [Katharine Hepburn, name, Katharine Hepburn]
-
A.
Katharine Hepburn
chosen
Katharine Hepburn was an iconic American actress renowned for her fiercely independent screen persona, sharp wit, and a record four Academy Awards for Best Actress during Hollywood’s Golden Age.
-
B.
Olivia de Havilland
Olivia de Havilland was a British-American actress of Hollywood’s Golden Age, renowned for her nuanced dramatic performances and two Academy Award-winning roles.
-
C.
Meryl Streep
Meryl Streep is an acclaimed American actress widely regarded as one of the greatest performers of her generation, known for her versatility and record number of Academy Award nominations.
-
D.
Bette Davis
Bette Davis was an iconic American film actress renowned for her intense, uncompromising performances and pioneering portrayals of complex, strong-willed women on screen.
-
E.
Jessica Tandy
Jessica Tandy was an acclaimed British-American actress known for her distinguished stage and film career, including her Academy Award–winning performance in "Driving Miss Daisy."
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b82b5248190ac863407e8207a3b |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a51f31b5a88190b39b678229ce83a3 |
completed | March 2, 2026, 5:25 a.m. |
Created at: March 1, 2026, 7:33 p.m.