Triple
T14637764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 99 Homes |
E343649
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Noruz Films |
E1110002
|
NE FINISHED |
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: Noruz Films | Statement: [99 Homes, productionCompany, Noruz Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noruz Films Context triple: [99 Homes, productionCompany, Noruz Films]
-
A.
Noruz Films
chosen
Noruz Films is an independent film production company known for producing character-driven dramas such as the feature film "At Any Price."
-
B.
Artina Films
Artina Films is a film production company known for backing notable independent and auteur-driven movies, including Tom Ford’s psychological thriller "Nocturnal Animals."
-
C.
Mecca Films
Mecca Films is a film production company best known for producing the 2004 hip-hop dance drama movie "You Got Served."
-
D.
Levantine Films
Levantine Films is an independent film production company known for backing acclaimed, socially conscious movies such as "Hidden Figures."
-
E.
Lenfilm
Lenfilm is one of Russia’s oldest and most prominent film studios, based in Saint Petersburg and known for producing many classic Soviet-era movies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aca6448190adf1042dfbfef716 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d2059081908150b6534aebb32f |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.