Triple
T8149861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banality series |
E190306
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Popples
Popples is a children's media franchise featuring colorful, plush, marsupial-like creatures that can transform by folding into ball shapes.
|
E717432
|
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: Popples | Statement: [Banality series, hasPart, Popples]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Popples Context triple: [Banality series, hasPart, Popples]
-
A.
Pluzz
Pluzz was France Télévisions’ former online catch-up TV and streaming platform, later succeeded by france.tv.
-
B.
Planty Pal
Planty Pal is the affectionate nickname of Plantagenet Palliser, a prominent fictional British politician in Anthony Trollope’s Palliser novels.
-
C.
Pengo
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
-
D.
Teletubbies
Teletubbies is a British preschool television series featuring four colorful, childlike characters in a whimsical, surreal landscape designed to entertain and educate very young children.
-
E.
Moppet
Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
- 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: Popples Triple: [Banality series, hasPart, Popples]
Generated description
Popples is a children's media franchise featuring colorful, plush, marsupial-like creatures that can transform by folding into ball shapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Popples Target entity description: Popples is a children's media franchise featuring colorful, plush, marsupial-like creatures that can transform by folding into ball shapes.
-
A.
Pluzz
Pluzz was France Télévisions’ former online catch-up TV and streaming platform, later succeeded by france.tv.
-
B.
Planty Pal
Planty Pal is the affectionate nickname of Plantagenet Palliser, a prominent fictional British politician in Anthony Trollope’s Palliser novels.
-
C.
Pengo
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
-
D.
Teletubbies
Teletubbies is a British preschool television series featuring four colorful, childlike characters in a whimsical, surreal landscape designed to entertain and educate very young children.
-
E.
Moppet
Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb447fc4308190b9436b0fe51a70a5 |
completed | March 31, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbee697208190a1d9c98b2a4414bd |
completed | April 1, 2026, 6:44 a.m. |
| NEDg | Description generation | batch_69ccc310b514819099228a1cc66517c5 |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd8041c00819094094701ace21aa0 |
completed | April 1, 2026, 8:32 a.m. |
Created at: March 30, 2026, 5:37 p.m.