Triple
T21405151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristin Landen Davis |
E528013
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Shaggy Dog (2006 film) |
—
|
NE NERFINISHED |
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: The Shaggy Dog (2006 film) | Statement: [Kristin Landen Davis, notableWork, The Shaggy Dog (2006 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Shaggy Dog (2006 film) Context triple: [Kristin Landen Davis, notableWork, The Shaggy Dog (2006 film)]
-
A.
The Shaggy Dog
chosen
The Shaggy Dog is a 1959 Disney live-action comedy film about a teenage boy who is magically transformed into an Old English Sheepdog, leading to a series of humorous misadventures.
-
B.
Road Dog
"Road Dog" is a song by the rock band Natural History.
-
C.
All Dogs Go to Heaven
All Dogs Go to Heaven is a 1989 animated musical fantasy film about a murdered dog who returns from heaven to seek revenge and ultimately learns about love and redemption.
-
D.
Shaggydog
Shaggydog is the fierce black direwolf companion of Rickon Stark in the world of A Song of Ice and Fire and its television adaptation Game of Thrones.
-
E.
Garfield: The Movie
Garfield: The Movie is a 2004 live-action/CGI family comedy film adaptation of the popular comic strip about a lazy, lasagna-loving orange cat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1aea22881909a0cc754e417fbf3 |
completed | April 22, 2026, 11:31 a.m. |
Created at: April 16, 2026, 5:31 p.m.