Triple
T8675672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nils Lofgren |
E205906
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nils |
E68753
|
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: Nils | Statement: [Nils Lofgren, givenName, Nils]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nils Context triple: [Nils Lofgren, givenName, Nils]
-
A.
Nils
chosen
Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
-
B.
Nils Norman
Nils Norman is a business figure known for co-founding the biotechnology company Biogen.
-
C.
Olaf
Olaf is a masculine given name of Old Norse origin, commonly used in Germanic and Scandinavian countries.
-
D.
Niels
Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
-
E.
Eilif
Eilif is one of Mother Courage’s sons in Bertolt Brecht’s play "Mother Courage and Her Children," whose experiences as a soldier highlight the brutalizing effects of war.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc49f54dfc8190b7a61e7ed1cfcbeb |
completed | March 31, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3a008d48190bd0e58f615eda148 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.