Triple
T4006528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Christiansen |
E89538
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Christian Christiansen |
E89538
|
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: Christian Christiansen | Statement: [Christian Christiansen, name, Christian Christiansen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Christiansen Context triple: [Christian Christiansen, name, Christian Christiansen]
-
A.
Christian Christiansen
chosen
Christian Christiansen was a Danish physicist and professor known for his work in optics and thermodynamics and for mentoring notable scientists, including Niels Bohr.
-
B.
Christian Møller
Christian Møller was a Danish theoretical physicist known for his contributions to quantum electrodynamics and the theory of relativity.
-
C.
Christian Michelsen
Christian Michelsen was a Norwegian statesman and prime minister best known for leading the peaceful dissolution of the union between Norway and Sweden in 1905.
-
D.
Kristian Kristiansen
Kristian Kristiansen is an adventurer known for participating in an expedition that crossed the Greenland ice cap.
-
E.
Folmar Blangsted
Folmar Blangsted was a Danish-born American film editor known for his work on major Hollywood productions in the mid-20th century.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa60c500819084fcba785b2bf801 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55626f19c8190af4705b1cd3b201d |
completed | March 14, 2026, 12:35 p.m. |
Created at: March 9, 2026, 3:34 p.m.