Triple
T23192691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yanks |
E579788
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | EMI Films |
—
|
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: EMI Films | Statement: [Yanks, productionCompany, EMI Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EMI Films Context triple: [Yanks, productionCompany, EMI Films]
-
A.
EMI Films
chosen
EMI Films was a British film production and distribution company active mainly in the 1960s–1980s, known for backing major films including the acclaimed war drama "The Deer Hunter."
-
B.
Palace Films
Palace Films is an Australian film distribution company known for releasing a wide range of acclaimed international and local arthouse and independent films.
-
C.
Empire Pictures
Empire Pictures was an independent American film production and distribution company best known for low-budget horror, fantasy, and science fiction movies in the 1980s.
-
D.
Eon Productions
Eon Productions is a British film production company best known for producing the long-running James Bond movie franchise.
-
E.
Savoy Pictures
Savoy Pictures was an American independent film production and distribution company active 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd86640819092308751d23c6642 |
completed | April 29, 2026, 4:58 a.m. |
Created at: April 17, 2026, 4:06 p.m.