Triple
T33792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trygve Lie |
E673
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Trygve |
E673
|
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: Trygve | Statement: [Trygve Lie, givenName, Trygve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trygve Context triple: [Trygve Lie, givenName, Trygve]
-
A.
Trygve Lie
chosen
Trygve Lie was a Norwegian politician and diplomat who became the first Secretary-General of the United Nations, serving from 1946 to 1952.
-
B.
Peter Amundson
Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
-
C.
Nilsen
Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
-
D.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
-
E.
Johan
Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2487952bc8190a94ce39c70799c70 |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b011fa00819095b0e7f51d1319c0 |
completed | Feb. 28, 2026, 9:06 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.