Triple
T31756125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fireworks at Walt Disney World |
E810559
|
entity |
| Predicate | hasNotableShow |
P98533
|
FINISHED |
| Object |
Fantasy in the Sky
Fantasy in the Sky is a classic nighttime fireworks spectacular created for Disney theme parks, renowned for its choreographed pyrotechnics set to iconic Disney music.
|
E1976215
|
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: Fantasy in the Sky | Statement: [Fireworks at Walt Disney World, hasNotableShow, Fantasy in the Sky]
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: Fantasy in the Sky Triple: [Fireworks at Walt Disney World, hasNotableShow, Fantasy in the Sky]
Generated description
Fantasy in the Sky is a classic nighttime fireworks spectacular created for Disney theme parks, renowned for its choreographed pyrotechnics set to iconic Disney music.
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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ab7cf30c81908c8fd2500c358e83 |
completed | May 3, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b948ac1d08190ae42c975a6e9a58c |
completed | June 12, 2026, 5:09 a.m. |
| NEDg | Description generation | batch_6a2b96a258e08190878811121d63504c |
completed | June 12, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b9794d14081909374e7d0c582f4e0 |
completed | June 12, 2026, 5:22 a.m. |
Created at: April 30, 2026, 11:29 p.m.