Triple
T5228375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Little Spark |
E118047
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Dreamfinder |
E232223
|
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: Dreamfinder | Statement: [One Little Spark, featuresCharacter, Dreamfinder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dreamfinder Context triple: [One Little Spark, featuresCharacter, Dreamfinder]
-
A.
Dreamfinder
chosen
Dreamfinder is a whimsical, bearded explorer of imagination from Disney's Epcot, known for guiding guests through creative adventures alongside his dragon companion Figment.
-
B.
Moonhaven
Moonhaven is a science fiction television series set in a utopian lunar colony that becomes central to humanity’s survival.
-
C.
City of Dreams
City of Dreams is a popular nickname for Mumbai, reflecting its status as India’s financial hub and a magnet for people seeking opportunity and success.
-
D.
Riverhouse
Riverhouse is a luxury eco-friendly residential condominium building located in Manhattan’s Battery Park City neighborhood.
-
E.
Haven
"Haven" is a literary work by British writer and socialite Elizabeth Asquith, reflecting her early 20th-century intellectual and artistic milieu.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adee36881909b034b8735db9d67 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef80ca924819095bcc729feb0e464 |
completed | March 21, 2026, 7:57 p.m. |
Created at: March 20, 2026, 1:48 p.m.