Triple
T16854860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidse Babett Knudsen |
E409757
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sidse |
E409757
|
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: Sidse | Statement: [Sidse Babett Knudsen, givenName, Sidse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidse Context triple: [Sidse Babett Knudsen, givenName, Sidse]
-
A.
Thea Kronborg
Thea Kronborg is the ambitious, musically gifted protagonist of Willa Cather’s novel "The Song of the Lark," whose journey traces her rise from a small-town girl to a renowned opera singer.
-
B.
Sidse Babett Knudsen
chosen
Sidse Babett Knudsen is a Danish actress best known internationally for her role in the political TV drama "Borgen" and for appearing in films such as "Inferno" and the series "Westworld."
-
C.
Sofie Jensen
Sofie Jensen was the wife of Danish carpenter and LEGO founder Ole Kirk Christiansen.
-
D.
Isabelle Arestrup
Isabelle Arestrup is known as the wife of acclaimed French actor and filmmaker Niels Arestrup.
-
E.
Pia Christensen
Pia Christensen is a notable individual recognized for achievements significant enough to be distinguished among others sharing the surname Christensen.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37c6e808190975b14b228253029 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2a6f2c48190874839f78f943fdb |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.