Triple
T18589635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harper (film) |
E454327
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Pamela Tiffin |
—
|
NE NERFINISHED |
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: Pamela Tiffin | Statement: [Harper (film), stars, Pamela Tiffin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamela Tiffin Context triple: [Harper (film), stars, Pamela Tiffin]
-
A.
Pamela Tiffin
chosen
Pamela Tiffin was an American film and television actress best known for her work in 1960s Hollywood comedies and dramas, as well as later Italian cinema.
-
B.
Pamela Fry
Pamela Fry is known primarily as the daughter of British art critic and painter Roger Fry, a central figure in the Bloomsbury Group.
-
C.
Pamela Thornton
Pamela Thornton is a fictional intelligence operative associated with the British secret service in the James Bond universe.
-
D.
Pamela Miles
Pamela Miles is a British actress best known for her work on stage and screen and for her long marriage to actor Tim Pigott-Smith.
-
E.
Pamela Hart
Pamela Hart is an actress best known for her role in the 1998 psychological thriller film "Pi."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b4a2a0819098047ee81278bd9d |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.