Triple
T20140427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Little Pony: The Movie |
E491146
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object |
Equestria
Equestria is the magical, pastel-colored fantasy kingdom that serves as the primary setting of the My Little Pony franchise, inhabited by various kinds of ponies and other mythical creatures.
|
E1413572
|
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: Equestria | Statement: [My Little Pony: The Movie, setIn, Equestria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Equestria Context triple: [My Little Pony: The Movie, setIn, Equestria]
-
A.
Turania
Turania is a genus of flowering plants within the amaranth family subfamily Salsoloideae, which includes many salt-tolerant and desert-adapted species.
-
B.
Turania
Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
-
C.
Cyndia
Cyndia is an alternative given name or spelling derived from the name Cynthia.
-
D.
Eternia
Eternia is a character known for being part of the Justus League, a group of heroes in the relevant fictional universe.
-
E.
Eternia
Eternia is the fictional, magic-infused homeworld of He-Man and other characters in the Masters of the Universe franchise.
- 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: Equestria Triple: [My Little Pony: The Movie, setIn, Equestria]
Generated description
Equestria is the magical, pastel-colored fantasy kingdom that serves as the primary setting of the My Little Pony franchise, inhabited by various kinds of ponies and other mythical creatures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Equestria Target entity description: Equestria is the magical, pastel-colored fantasy kingdom that serves as the primary setting of the My Little Pony franchise, inhabited by various kinds of ponies and other mythical creatures.
-
A.
Turania
Turania is a genus of flowering plants within the amaranth family subfamily Salsoloideae, which includes many salt-tolerant and desert-adapted species.
-
B.
Turania
Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
-
C.
Cyndia
Cyndia is an alternative given name or spelling derived from the name Cynthia.
-
D.
Eternia
Eternia is a character known for being part of the Justus League, a group of heroes in the relevant fictional universe.
-
E.
Eternia
Eternia is the fictional, magic-infused homeworld of He-Man and other characters in the Masters of the Universe franchise.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66798d59c81908ebcd6644b1b3744 |
completed | April 20, 2026, 5:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082de69fc08190bfef348685007aad |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082fa951a88190b5c3cac2280d43b7 |
completed | May 16, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08305a986481909e78c28b1c919c9f |
completed | May 16, 2026, 8:52 a.m. |
Created at: April 11, 2026, 11:32 p.m.