Triple
T22454462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mallrats |
E555078
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | James Jacks |
—
|
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: James Jacks | Statement: [Mallrats, producer, James Jacks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Jacks Context triple: [Mallrats, producer, James Jacks]
-
A.
James Jacks
chosen
James Jacks was an American film producer best known for his work on popular action and adventure movies such as "The Mummy" series.
-
B.
Jack Hively
Jack Hively was an American film editor and director active in Hollywood during the mid-20th century, known for his work on numerous RKO Pictures productions.
-
C.
Jack Hoggan
Jack Hoggan is the birth name of Jack Vettriano, a Scottish painter famed for his romantic, narrative-style figurative works.
-
D.
Don Jackson
Don Jackson was an American television producer best known for founding and producing the Stellar Awards, a major gospel music awards show.
-
E.
Jack Cates
Jack Cates is a tough, rule-bending San Francisco police detective and one of the two main protagonists in the action-comedy film "48 Hrs."
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4e2bd4819083e5bed44e9776c6 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.