Triple
T19879915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meet Dave |
E477742
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Meet Dave |
—
|
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: Meet Dave | Statement: [Meet Dave, title, Meet Dave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meet Dave Context triple: [Meet Dave, title, Meet Dave]
-
A.
Meet Dave
chosen
Meet Dave is a 2008 science fiction comedy film starring Eddie Murphy as both a human-shaped spaceship and its tiny alien captain, blending slapstick humor with a fish-out-of-water storyline.
-
B.
Black Dave
Black Dave is the nickname of David Hunter, likely used as a distinctive personal or professional moniker.
-
C.
Daves
Daves is the surname of Delmer Daves, an American film director, producer, and screenwriter known for classic Westerns and dramas.
-
D.
Dave (TV series)
Dave is an American comedy television series created by and starring rapper Lil Dicky, loosely based on his life and rise in the music industry.
-
E.
The Pete
The Pete is a multi-purpose indoor arena at the University of Pittsburgh known primarily as the home venue for the Pittsburgh Panthers basketball teams.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658de4b288190a41bee67f570be1e |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:52 p.m.