Triple
T12768648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Expectations (2012 film) |
E305188
|
entity |
| Predicate | distributedBy |
P1951
|
FINISHED |
| Object | Lionsgate UK |
E75454
|
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: Lionsgate UK | Statement: [Great Expectations (2012 film), distributedBy, Lionsgate UK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lionsgate UK Context triple: [Great Expectations (2012 film), distributedBy, Lionsgate UK]
-
A.
Lionsgate
chosen
Lionsgate is a major North American entertainment company and film studio known for producing and distributing a wide range of popular movies and television series.
-
B.
Lion's Gate Films
Lion's Gate Films is an American independent film production and distribution company known for releasing a wide range of arthouse and genre films.
-
C.
Lions' Gate
Lions' Gate is one of the historic entrances to Jerusalem’s Old City, leading directly toward the Temple Mount/Haram al-Sharif area.
-
D.
ThinkFilm
ThinkFilm was an independent film distribution company known for releasing arthouse and specialty films in the early 2000s.
-
E.
Kingsgate Films
Kingsgate Films is a film production company best known for producing the stoner comedy "Harold & Kumar Go to White Castle."
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df3b2f88190b37b696400178795 |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f750a08190abf6122baa579bc4 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:28 p.m.