Triple
T12534342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lars Løkke Rasmussen |
E299649
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rasmussen |
E197703
|
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: Rasmussen | Statement: [Lars Løkke Rasmussen, familyName, Rasmussen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rasmussen Context triple: [Lars Løkke Rasmussen, familyName, Rasmussen]
-
A.
Rasmussen
chosen
Rasmussen is a surname of Scandinavian origin borne by various notable individuals across fields such as politics, sports, and media.
-
B.
Rosenstein
Rosenstein is a surname most notably associated with Justin Rosenstein, the American software programmer and co-founder of Asana.
-
C.
Rashbaum
Rashbaum is the birth surname of American musician and Bon Jovi keyboardist David Bryan.
-
D.
Rast
Rast is a mutinous former member of the Night's Watch in Game of Thrones who participates in the betrayal at Craster's Keep and briefly helps hold it against Jon Snow's forces.
-
E.
Raskens
Raskens is a novel by Swedish author Vilhelm Moberg that portrays the harsh life and inner struggles of a 19th-century Swedish soldier and farmer.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546d3b2081908d3e0659f8f13678 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc9b9ec8190a25e2658d79836bc |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.