Triple
T22839066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kecskemét Animation Film Festival |
E566027
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
KAFF
KAFF is a Hungarian animation film festival held in Kecskemét that showcases and celebrates animated films from Hungary and around the world.
|
E1556522
|
NE FINISHED |
How this triple was built (4 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: KAFF | Statement: [Kecskemét Animation Film Festival, alsoKnownAs, KAFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KAFF Context triple: [Kecskemét Animation Film Festival, alsoKnownAs, KAFF]
-
A.
KOFF
KOFF is the ICAO airport code for Offutt Air Force Base, a major United States Air Force installation near Omaha, Nebraska.
-
B.
KAF
KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
-
C.
CAFF
CAFF is an Arctic Council working group focused on the conservation and sustainable use of Arctic biodiversity, ecosystems, and related natural resources.
-
D.
Koffee
Koffee is a Jamaican reggae and dancehall singer, songwriter, and rapper known for her Grammy-winning EP "Rapture" and hit single "Toast."
-
E.
KOFA
KOFA is the commonly used abbreviation for the historic King of Arizona Mine, a notable gold mining operation in Arizona.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KAFF Triple: [Kecskemét Animation Film Festival, alsoKnownAs, KAFF]
Generated description
KAFF is a Hungarian animation film festival held in Kecskemét that showcases and celebrates animated films from Hungary and around the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KAFF Target entity description: KAFF is a Hungarian animation film festival held in Kecskemét that showcases and celebrates animated films from Hungary and around the world.
-
A.
KOFF
KOFF is the ICAO airport code for Offutt Air Force Base, a major United States Air Force installation near Omaha, Nebraska.
-
B.
KAF
KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
-
C.
CAFF
CAFF is an Arctic Council working group focused on the conservation and sustainable use of Arctic biodiversity, ecosystems, and related natural resources.
-
D.
Koffee
Koffee is a Jamaican reggae and dancehall singer, songwriter, and rapper known for her Grammy-winning EP "Rapture" and hit single "Toast."
-
E.
KOFA
KOFA is the commonly used abbreviation for the historic King of Arizona Mine, a notable gold mining operation in Arizona.
- F. None of above. chosen
Provenance (5 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8325948190a3b63f2cd0371373 |
completed | April 29, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7b3aae48190bb2785a223d135a2 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8bb77bc81909c5422f9d73c1e70 |
completed | May 19, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba94752c48190a8892cac5ef862b2 |
completed | May 19, 2026, 12:05 a.m. |
Created at: April 17, 2026, 3:35 p.m.