Triple
T22189554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friday After Next |
E548380
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Craig Jones |
—
|
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: Craig Jones | Statement: [Friday After Next, featuresCharacter, Craig Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Jones Context triple: [Friday After Next, featuresCharacter, Craig Jones]
-
A.
Craig Jones
chosen
Craig Jones is the laid-back, unemployed protagonist of the cult comedy film "Friday," known for his humorous misadventures over the course of a single day in South Central Los Angeles.
-
B.
Craig Jones
Craig Jones is an American musician best known as the sampler and keyboardist for the masked metal band Slipknot.
-
C.
BJ Jones
BJ Jones is an American theater director and actor best known for leading Chicago’s Northlight Theatre as its longtime artistic director.
-
D.
Mark Hunt
Mark Hunt is a New Zealand mixed martial artist and former K-1 kickboxing world champion known for his knockout power and success in heavyweight combat sports.
-
E.
Larry Jones
Larry Jones is a former professional basketball player best known for his high-scoring guard play in the ABA during the late 1960s and early 1970s.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aac07d88190848c940863c0a0c7 |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.