Triple
T22683785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bjørn Arild Gram |
E560853
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gram |
—
|
NE NERFINISHED |
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: Gram | Statement: [Bjørn Arild Gram, familyName, Gram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gram Context triple: [Bjørn Arild Gram, familyName, Gram]
-
A.
Gram
chosen
Gram is a surname of Scandinavian origin borne by various notable individuals, including Norwegian politician Bjørn Arild Gram.
-
B.
Gram
Gram is a legendary sword from Norse mythology, famously wielded by the hero Sigurd to slay the dragon Fafnir.
-
C.
Kilo
Kilo is a hip-hop track by Clipse known for its vivid, metaphor-laden depictions of cocaine dealing.
-
D.
Kilo
Kilo is a residential district in the city of Espoo, Finland, known for its apartment blocks, local services, and good commuter rail connections to Helsinki and surrounding areas.
-
E.
Gramos
Gramos is a mountain massif on the border between Greece and Albania, known for its rugged terrain and natural beauty within the Pindus mountain range.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1786204d88190a837a5f04e16e94c |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:12 p.m.