Triple
T1716383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comet |
E37298
|
entity |
| Predicate | fliesWith |
P31875
|
FINISHED |
| Object | Donner |
E37300
|
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: Donner | Statement: [Comet, fliesWith, Donner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donner Context triple: [Comet, fliesWith, Donner]
-
A.
Donner
chosen
Donner is one of Santa Claus's traditional flying reindeer, often depicted as helping pull Santa’s sleigh on Christmas Eve.
-
B.
Nanooks
Nanooks is the nickname for the University of Alaska Fairbanks athletic teams, representing the school in NCAA competition.
-
C.
Mahlon
Mahlon is a minor biblical figure in the Book of Ruth, known as one of Naomi’s sons and the first husband of Ruth.
-
D.
Chevak
Chevak is a distinct dialect of the Central Alaskan Yup’ik language spoken primarily in the village of Chevak in western Alaska.
-
E.
Nisenan
The Nisenan are an Indigenous people of Northern California, traditionally inhabiting the Sierra Nevada foothills and Sacramento Valley, with a distinct Maidu language and culture.
- 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_69ad8ae3ea048190b25beeb4bd7306ce |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.