Triple
T23056580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Buyers Club |
E574170
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Truth Entertainment |
—
|
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: Truth Entertainment | Statement: [Dallas Buyers Club, producer, Truth Entertainment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Truth Entertainment Context triple: [Dallas Buyers Club, producer, Truth Entertainment]
-
A.
Truth Entertainment
chosen
Truth Entertainment is an American film production company best known for producing the acclaimed drama "Dallas Buyers Club."
-
B.
True Entertainment
True Entertainment is a television production company best known for producing reality series such as "The Real Housewives of Atlanta."
-
C.
19 Entertainment
19 Entertainment is a British-based entertainment company best known for creating and producing global television franchises such as "American Idol" and managing associated music and talent ventures.
-
D.
Z Entertainment
Z Entertainment is a media and entertainment company known for producing and distributing television and digital content.
-
E.
Legend Entertainment
Legend Entertainment was an American video game developer best known for its story-driven adventure and interactive fiction titles in the 1990s.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1868099708190b23725dc8a305e09 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:55 p.m.