Triple
T15424556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Dennison |
E369472
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Jenny Dennison |
E1061550
|
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: Jenny Dennison | Statement: [Max Dennison, parent, Jenny Dennison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenny Dennison Context triple: [Max Dennison, parent, Jenny Dennison]
-
A.
Jenny Dennison
chosen
Jenny Dennison is a character in the Hocus Pocus franchise, known as the younger sister of Dani Dennison.
-
B.
Jenny Morrison
Jenny Morrison is an Australian woman best known as the wife of former Prime Minister Scott Morrison and for her public role during his time in office.
-
C.
Jenny Morrison
Jenny Morrison is an actress known for playing the character Hillary Whitney.
-
D.
Jenny Preston
Jenny Preston is a fictional character from the American television sitcom "The New Dick Van Dyke Show."
-
E.
Jenny Robertson
Jenny Robertson is an American actress known for her work in film and television, including roles in comedies and dramas since the 1980s.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec032548190840b558dde6057c7 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3aeb59c8190a39ccb4df7815ed0 |
completed | May 9, 2026, 11:30 p.m. |
Created at: April 10, 2026, 3:20 a.m.