Triple
T22246898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Bad Moms Christmas |
E549866
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | James Thomas |
—
|
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 Thomas | Statement: [A Bad Moms Christmas, editedBy, James Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Thomas Context triple: [A Bad Moms Christmas, editedBy, James Thomas]
-
A.
James Thomas
chosen
James Thomas is a film editor best known for his work on the satirical mockumentary "Borat: Cultural Learnings of America for Make Benefit Glorious Nation of Kazakhstan."
-
B.
John Thomas
John Thomas is an American cinematographer best known for his work on the Sex and the City television series and its film adaptations.
-
C.
John Thomas
John Thomas is a film producer best known for his work on the action thriller "Executive Decision."
-
D.
John Thomas
John Thomas is an author known for writing about the Predator franchise.
-
E.
John Thomas
John Thomas was a 19th-century British sculptor known for his architectural and commemorative works, including prominent public monuments.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13218d1f88190b64b7f301328fa98 |
completed | April 28, 2026, 10:18 p.m. |
Created at: April 16, 2026, 8:38 p.m.