Triple
T4033163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Potter and the Half-Blood Prince (film) |
E83760
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Bonnie Wright |
E126332
|
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: Bonnie Wright | Statement: [Harry Potter and the Half-Blood Prince (film), stars, Bonnie Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonnie Wright Context triple: [Harry Potter and the Half-Blood Prince (film), stars, Bonnie Wright]
-
A.
Bonnie Wright
chosen
Bonnie Wright is an English actress and filmmaker best known for playing Ginny Weasley in the Harry Potter film series.
-
B.
Evanna Lynch
Evanna Lynch is an Irish actress best known for playing Luna Lovegood in the Harry Potter film series.
-
C.
Jane Wenham
Jane Wenham was a British actress known for her work in mid-20th-century film, television, and theatre.
-
D.
Isabella Astin
Isabella Astin is a daughter of American actor and filmmaker Sean Astin.
-
E.
Katy Manning
Katy Manning is a British actress best known to Doctor Who fans for playing the Third Doctor’s companion Jo Grant in the early 1970s.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb108fc0819080c8f41da2e558e0 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5563b6d8c8190862597ea39b56de1 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.