Triple
T2645015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knight of Cups |
E62962
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Teresa Palmer |
E227101
|
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: Teresa Palmer | Statement: [Knight of Cups, hasCastMember, Teresa Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teresa Palmer Context triple: [Knight of Cups, hasCastMember, Teresa Palmer]
-
A.
Teresa Palmer
chosen
Teresa Palmer is an Australian actress known for her roles in films such as "Warm Bodies," "Lights Out," and "Hacksaw Ridge."
-
B.
Kelly Reilly
Kelly Reilly is an English actress known for her roles in films like "Flight" and the "Sherlock Holmes" series, as well as the television drama "Yellowstone."
-
C.
Alice Eve
Alice Eve is a British actress known for her roles in films such as "Star Trek Into Darkness," "She's Out of My League," and "Men in Black 3."
-
D.
Annabelle Wallis
Annabelle Wallis is an English actress known for her roles in television series like Peaky Blinders and films such as Annabelle and The Mummy.
-
E.
Arielle Kebbel
Arielle Kebbel is an American actress and former model known for her roles in film and television series such as "The Vampire Diaries," "Gilmore Girls," and various romantic 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd917192081908e7a2cf780a17b83 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf49dc7c8190bebc1c75f6d00ef9 |
completed | March 10, 2026, 5:42 a.m. |
Created at: March 6, 2026, 9:53 p.m.