Triple
T4827096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Figment arts festival |
E107851
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | FIGMENT |
E232222
|
NE FINISHED |
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: FIGMENT | Statement: [Figment arts festival, name, FIGMENT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FIGMENT Context triple: [Figment arts festival, name, FIGMENT]
-
A.
Figment
chosen
Figment is a small purple dragon from Disney's Epcot theme park, known as the playful embodiment of imagination in the Journey Into Imagination attraction.
-
B.
Fiends Fell
Fiends Fell is an older name for Cross Fell, the highest and often mist-shrouded peak of the Pennines in northern England.
-
C.
Sea of Stories
The Sea of Stories is a vast, magical ocean of interwoven tales and narrative streams in Salman Rushdie’s children’s novel "Haroun and the Sea of Stories."
-
D.
Fiasco
Fiasco is a novel by Nobel Prize–winning Hungarian author Imre Kertész that continues his exploration of totalitarianism, individual fate, and the absurdity of existence.
-
E.
Forest of Illusion
Forest of Illusion is a secret-filled, maze-like forest world in Super Mario World known for its tricky level exits and hidden paths.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cb086008190ba8d406e27fc2bdd |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dcd3ecc8190a5223f00344019ff |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.