Triple
T18589018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transformers: The Movie (1986) |
E454309
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Kup
Kup is an elderly, battle-hardened Autobot from the Transformers franchise, known for his gruff demeanor and constant war stories.
|
E1332584
|
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: Kup | Statement: [Transformers: The Movie (1986), featuresCharacter, Kup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kup Context triple: [Transformers: The Movie (1986), featuresCharacter, Kup]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Kuenn
Kuenn is a surname most notably associated with Harvey Kuenn, an American Major League Baseball player and manager.
-
E.
Küps
Küps is a market town in the Upper Franconia region of Bavaria, Germany, known for its location in the Kronach district along the Rodach River.
- 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: Kup Triple: [Transformers: The Movie (1986), featuresCharacter, Kup]
Generated description
Kup is an elderly, battle-hardened Autobot from the Transformers franchise, known for his gruff demeanor and constant war stories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kup Target entity description: Kup is an elderly, battle-hardened Autobot from the Transformers franchise, known for his gruff demeanor and constant war stories.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Kuenn
Kuenn is a surname most notably associated with Harvey Kuenn, an American Major League Baseball player and manager.
-
E.
Küps
Küps is a market town in the Upper Franconia region of Bavaria, Germany, known for its location in the Kronach district along the Rodach River.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b3e564819088e60fc25d1976f0 |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f89678bc8190b8bc79694d75fd4b |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04fed4e1c4819088f99be7ee8ecd08 |
completed | May 13, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04ff9d97108190a34c4a8e347df711 |
completed | May 13, 2026, 10:47 p.m. |
Created at: April 10, 2026, 11:44 a.m.