Triple
T19520426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Transformers (Marvel comic series) |
E488386
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Kup |
—
|
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: Kup | Statement: [The Transformers (Marvel comic series), featuresCharacter, Kup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kup Context triple: [The Transformers (Marvel comic series), featuresCharacter, Kup]
-
A.
Kup
chosen
Kup is an elderly, battle-hardened Autobot from the Transformers franchise, known for his gruff demeanor and constant war stories.
-
B.
Kupenite
Kupenite is a group of rugged mountain peaks in Bulgaria’s Rila Mountains, popular with climbers and hikers for their steep rocky profiles and alpine scenery.
-
C.
Kupwara
Kupwara is a town in the northern part of Jammu and Kashmir, India, known as a gateway to scenic valleys and forests near the Line of Control.
-
D.
Kupiano
Kupiano is a coastal town in Papua New Guinea’s Central Province, known as a local administrative and trading center for surrounding rural communities.
-
E.
Kuenn
Kuenn is a surname most notably associated with Harvey Kuenn, an American Major League Baseball player and manager.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359feb808190ba94563831adc720 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.