Triple
T2799012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The End Is Nye |
E53106
|
entity |
| Predicate | hasHostBackground |
P15585
|
FINISHED |
| Object | Bill Nye is a science educator |
—
|
LITERAL 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: Bill Nye is a science educator | Statement: [The End Is Nye, hasHostBackground, Bill Nye is a science educator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHostBackground Context triple: [The End Is Nye, hasHostBackground, Bill Nye is a science educator]
-
A.
hasBackground
chosen
Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
-
B.
hasNotableHost
Indicates that an entity is associated with a host who is particularly prominent, famous, or otherwise noteworthy.
-
C.
hasColorProcess
Indicates a relationship where an entity is associated with a specific method or process used to apply, change, or manage its color.
-
D.
hasProtagonistBackground
Indicates that a work or narrative features a specified background or origin story for its main protagonist.
-
E.
hasMainContrast
Indicates a primary opposing or differing relationship between two elements, highlighting the main point of contrast between them.
- F. None of above.
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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf31eec8190a898713e53d1aa5c |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.