Triple
T17909514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pops |
E447783
|
entity |
| Predicate | homePlanet |
P16439
|
FINISHED |
| Object |
Lolliland
Lolliland is a whimsical, candy-themed fictional planet known as the colorful home world of the character Pops.
|
E1295241
|
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: Lolliland | Statement: [Pops, homePlanet, Lolliland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lolliland Context triple: [Pops, homePlanet, Lolliland]
-
A.
Helleland
Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
-
B.
Forlandet
Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
-
C.
Lomme
Lomme is a suburban district and former commune that now forms part of the metropolitan area of Lille in northern France.
-
D.
Tivland
Tivland is the traditional homeland and cultural region of the Tiv people, primarily located in central Nigeria.
-
E.
Eidslandet
Eidslandet is a small village in western Norway, situated in Vaksdal Municipality in Vestland county.
- 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: Lolliland Triple: [Pops, homePlanet, Lolliland]
Generated description
Lolliland is a whimsical, candy-themed fictional planet known as the colorful home world of the character Pops.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lolliland Target entity description: Lolliland is a whimsical, candy-themed fictional planet known as the colorful home world of the character Pops.
-
A.
Helleland
Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
-
B.
Forlandet
Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
-
C.
Lomme
Lomme is a suburban district and former commune that now forms part of the metropolitan area of Lille in northern France.
-
D.
Tivland
Tivland is the traditional homeland and cultural region of the Tiv people, primarily located in central Nigeria.
-
E.
Eidslandet
Eidslandet is a small village in western Norway, situated in Vaksdal Municipality in Vestland county.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9f4f888190840c8b55672becf8 |
completed | April 19, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b2e0c5481908443e13839a0415d |
completed | May 12, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a031bc800d081908493949af23dd360 |
completed | May 12, 2026, 12:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031d4bf2dc8190b69eb8f8050b9955 |
completed | May 12, 2026, 12:30 p.m. |
Created at: April 10, 2026, 10:19 a.m.