Triple
T22541227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Must Love Dogs |
E557292
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Jake Anderson |
—
|
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: Jake Anderson | Statement: [Must Love Dogs, character, Jake Anderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Anderson Context triple: [Must Love Dogs, character, Jake Anderson]
-
A.
Jake Anderson
chosen
Jake Anderson is a fictional character best known as the charming love interest of Sarah Nolan in the romantic comedy film "Must Love Dogs."
-
B.
Matt Anderson
Matt Anderson is an American professional volleyball player widely regarded as one of the top opposite hitters in the world and a longtime standout for the U.S. national team.
-
C.
Justin Anderson
Justin Anderson is an American professional basketball player known for his time in the NBA as a versatile wing and strong perimeter defender.
-
D.
Lee Anderson
Lee Anderson is a British politician and broadcaster known for his outspoken right-wing views and role as a presenter on GB News.
-
E.
Sean Anderson
Sean Anderson is a writer associated with the group or publication known as Clique.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3251808190a72b849157854d8d |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.