Triple
T14429648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alec Sokolow |
E357787
|
entity |
| Predicate | co-wrote |
P47055
|
FINISHED |
| Object | Garfield: The Movie |
E77927
|
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: Garfield: The Movie | Statement: [Alec Sokolow, co-wrote, Garfield: The Movie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garfield: The Movie Context triple: [Alec Sokolow, co-wrote, Garfield: The Movie]
-
A.
Garfield: The Movie
chosen
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.
-
B.
Garfield’s Nightmare (former)
Garfield’s Nightmare (former) was a now-removed Garfield-themed dark ride attraction that once operated at the Kennywood amusement park.
-
C.
Garfield
Garfield is best known as the 20th president of the United States, whose term in 1881 was cut short by assassination.
-
D.
Garfield
Garfield is a famous orange comic-strip cat created by Jim Davis, known for his laziness, love of lasagna, and sarcastic attitude.
-
E.
Garfield
Garfield is a residential neighborhood in the East End of Pittsburgh known for its hillside streets, diverse community, and ongoing revitalization efforts.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91154de881909266ae88d1545685 |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64898c088190ab4eef32ca4f5ed6 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:18 a.m.