Triple
T16986295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danielle Panabaker |
E412073
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Mr. Brooks |
E729499
|
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: Mr. Brooks | Statement: [Danielle Panabaker, appearedIn, Mr. Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Brooks Context triple: [Danielle Panabaker, appearedIn, Mr. Brooks]
-
A.
Mr. Brooks
chosen
Mr. Brooks is a 2007 psychological thriller film about a seemingly respectable businessman who struggles with his murderous alter ego.
-
B.
Mr. Brooks
Mr. Brooks is the father of Jimmy Brooks, a character in the television series "Degrassi: The Next Generation."
-
C.
Mr. Garrett
Mr. Garrett is a young librarian and the protagonist of M. R. James’s ghost story “The Tractate Middoth,” who becomes entangled in a sinister mystery involving an old book and a haunted inheritance.
-
D.
Mr. Brooke
Mr. Brooke is a comfortably off, somewhat ineffectual country gentleman and politician in George Eliot’s novel "Middlemarch," known for his muddled liberalism and guardianship of Dorothea Brooke.
-
E.
Mr. Franks
Mr. Franks is a music producer best known for his work with the hip-hop collective Legend.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27b58908190a643bcbd105b1849 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1109a081908890bbd5958c76c2 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.