Triple
T15424555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Dennison |
E369472
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Dave Dennison |
E1159425
|
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: Dave Dennison | Statement: [Max Dennison, parent, Dave Dennison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Dennison Context triple: [Max Dennison, parent, Dave Dennison]
-
A.
Dave Dennison
chosen
Dave Dennison is a fictional character associated with Dani Dennison in the Hocus Pocus film universe, depicted as a member of her family.
-
B.
David Denny
David Denny was a 19th-century American pioneer and early settler of Seattle, Washington, who played a key role in the city's founding and development.
-
C.
Tony Denison
Tony Denison is an American actor best known for his role as Detective Andy Flynn on the crime dramas "The Closer" and its spin-off "Major Crimes."
-
D.
Max Dennison
Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
-
E.
David Denman
David Denman is an American actor best known for his role as Roy Anderson on the U.S. version of "The Office" and for supporting performances in films and television series across comedy and drama.
- 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_6a00dbf2567c81909ab6054ade27afac |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 3:20 a.m.