Triple
T7355159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurry Sundown |
E169603
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jane Fonda |
E172653
|
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: Jane Fonda | Statement: [Hurry Sundown, starring, Jane Fonda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Fonda Context triple: [Hurry Sundown, starring, Jane Fonda]
-
A.
Jane Fonda
chosen
Jane Fonda is an acclaimed American actress, political activist, and fitness guru known for her Academy Award–winning film roles and influential workout videos.
-
B.
Shirley MacLaine
Shirley MacLaine is an acclaimed American actress, dancer, and author known for her versatile film roles, spiritual writings, and a career spanning over six decades.
-
C.
Catherine Hicks
Catherine Hicks is an American actress best known for her role as Annie Camden on the long-running television series "7th Heaven."
-
D.
Anna Ferzetti
Anna Ferzetti is an Italian actress known for her work in film and television, as well as for her presence in the contemporary Italian entertainment scene.
-
E.
Gina Carter
Gina Carter is a British film and television producer known for her work on projects such as the period drama "Bright Young Things."
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10e71fc81909307ca39a61142d3 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810d0aebc8190a7274fbcd3fe11ff |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:05 p.m.