Triple
T8675700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nils Lofgren |
E205906
|
entity |
| Predicate | associatedWithSurname |
P2830
|
FINISHED |
| Object | Lofgren |
E205906
|
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: Lofgren | Statement: [Nils Lofgren, associatedWithSurname, Lofgren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lofgren Context triple: [Nils Lofgren, associatedWithSurname, Lofgren]
-
A.
Lofgren
chosen
Lofgren is a surname most prominently associated with American rock musician and guitarist Nils Lofgren, known for his solo work and longtime role in Bruce Springsteen’s E Street Band.
-
B.
Lorens
Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
-
C.
Luriottis
Luriottis was a notable Philhellene known for supporting the Greek cause during the Greek War of Independence.
-
D.
Luetkemeyer
Luetkemeyer is the birth surname of American actress Julie Bowen, known for her roles in television and film.
-
E.
Laudner
Laudner is a surname most notably associated with former American Major League Baseball catcher Tim Laudner.
- 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_69cf28748c0c8190a8870650a9b07d7d |
completed | April 3, 2026, 2:39 a.m. |
Created at: March 30, 2026, 6:32 p.m.