Triple
T10419910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annika Lammers |
E245617
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Annika |
E862401
|
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: Annika | Statement: [Annika Lammers, givenName, Annika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annika Context triple: [Annika Lammers, givenName, Annika]
-
A.
Annika
Annika is a television crime drama series featuring Kate Dickie in a prominent role.
-
B.
Annika Barthine
Annika Barthine is known as the former spouse of Swedish politician and former Prime Minister Göran Persson.
-
C.
Annika Lammers
chosen
Annika Lammers is a person notable enough to be recognized as a bearer of the surname Lammers.
-
D.
Betsy Brandt
Betsy Brandt is an American actress best known for her role as Marie Schrader on the television series "Breaking Bad."
-
E.
Camille Groth
Camille Groth is an individual notable enough to be recognized as a bearer of the surname Groth, though specific widely known public details about them are not readily available.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2aa7848190a7091ee71722fcc6 |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e9b86648190b83eb5261c9a7b97 |
completed | April 10, 2026, 4:37 a.m. |
Created at: April 6, 2026, 12:11 p.m.