Triple
T4313278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal World Film Festival |
E94123
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | MWFF |
E94123
|
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: MWFF | Statement: [Montreal World Film Festival, alsoKnownAs, MWFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MWFF Context triple: [Montreal World Film Festival, alsoKnownAs, MWFF]
-
A.
MWFF
chosen
MWFF is the abbreviation for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
-
B.
WFF
WFF is a NASA rocket launch and research facility located on Wallops Island, Virginia, supporting suborbital and orbital missions.
-
C.
ZFF Summit
ZFF Summit is a key industry conference and discussion platform held during the Zurich Film Festival, bringing together filmmakers, executives, and thought leaders to explore current issues and trends in cinema and entertainment.
-
D.
MMFA
MMFA is the acronym for the Montgomery Museum of Fine Arts, a prominent art museum in Montgomery, Alabama known for its collections of American art and regional works.
-
E.
ZFF Masters
ZFF Masters is a Zurich Film Festival program featuring in-depth masterclasses and conversations with prominent filmmakers and industry professionals.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350f319c08190bb40a9fc5933728d |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c75f30f48190ab030d635bd334af |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:12 p.m.