Triple
T9197349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blitzen |
E220749
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Blixem |
E211815
|
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: Blixem | Statement: [Blitzen, alsoKnownAs, Blixem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blixem Context triple: [Blitzen, alsoKnownAs, Blixem]
-
A.
Blixem
chosen
Blixem is an alternative name for Blitzen, one of Santa Claus’s traditional flying reindeer known from the Christmas poem “A Visit from St. Nicholas.”
-
B.
Blix
Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
-
C.
Blix
Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
-
D.
Ilmandu
Ilmandu is a small village in northern Estonia that forms part of Harku Parish near the capital city, Tallinn.
-
E.
Schmendiman
Schmendiman is a comically overconfident, dim-witted inventor in Steve Martin’s play "Picasso at the Lapin Agile," representing misguided modern ambition.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87f50e88190940e73af1deda747 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c3b1af48190bb03af15232c510d |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:25 p.m.