Triple
T1716292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prancer |
E37296
|
entity |
| Predicate | listedWith |
P31874
|
FINISHED |
| Object | Comet |
E37298
|
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: Comet | Statement: [Prancer, listedWith, Comet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comet Context triple: [Prancer, listedWith, Comet]
-
A.
Comet
chosen
Comet is one of Santa Claus’s traditional flying reindeer, often depicted as swift and spirited as he helps pull Santa’s sleigh on Christmas Eve.
-
B.
Komet
Komet was the nickname of the Messerschmitt Me 163, a German World War II rocket-powered interceptor aircraft known for its extraordinary speed and unconventional design.
-
C.
Rosetta
Rosetta is a port city in northern Egypt near the Nile Delta, historically renowned as the discovery site of the Rosetta Stone, which was key to deciphering Egyptian hieroglyphs.
-
D.
Rosetta
"Rosetta" is a classic jazz standard composed by pianist Earl Hines that has become a staple of the swing and traditional jazz repertoire.
-
E.
Météores
Météores is one of the scientific essays by René Descartes, accompanying his Discours de la méthode and focusing on the study of meteorological and atmospheric phenomena.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abaffc4e5c81908ce0b9cfe833445e |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0d3a1508190bf05aa45e9966c49 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.