Triple
T1716337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vixen |
E37297
|
entity |
| Predicate | listedInLine |
P26405
|
FINISHED |
| Object | "On, Comet! on, Cupid! on, Donder and Blitzen!" |
—
|
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: "On, Comet! on, Cupid! on, Donder and Blitzen!" | Statement: [Vixen, listedInLine, "On, Comet! on, Cupid! on, Donder and Blitzen!"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listedInLine Context triple: [Vixen, listedInLine, "On, Comet! on, Cupid! on, Donder and Blitzen!"]
-
A.
listedOn
Indicates that an item, entity, or piece of information appears as an entry on a particular list, platform, or catalog.
-
B.
inscriptionIncludesLine
chosen
Indicates that an inscription contains a specific line of text as one of its components.
-
C.
isLinedWith
Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
-
D.
positionInProductLine
Indicates the specific place or order an item occupies within a defined product line or series.
-
E.
lineServed
Indicates that a particular transportation line (such as a bus, train, or metro line) provides service to or is operated at a given stop, station, or route segment.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.