Triple
T23247043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Christensen |
E581609
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Christensen |
—
|
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: Christensen | Statement: [Todd Christensen, familyName, Christensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christensen Context triple: [Todd Christensen, familyName, Christensen]
-
A.
Christensen
chosen
Christensen is a common Danish surname borne by numerous notable individuals across fields such as fashion, sports, politics, and the arts.
-
B.
Christensen-Dalsgaard
Christensen-Dalsgaard is a Danish surname most notably associated with astrophysicist Jørgen Christensen-Dalsgaard, a leading figure in the field of helioseismology.
-
C.
Kristensen
Kristensen is a given name associated with the Norwegian historian and politician Ludvig Kristensen Daa.
-
D.
Christiansen
Christiansen is a surname of Scandinavian origin borne by various individuals, including American television chef and author Sandra Lee.
-
E.
Lovins
Lovins is the surname of Amory B. Lovins, an American physicist and environmentalist known for his work on energy efficiency and sustainable energy policy.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f1e8448190b8420a8dc6e24576 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:10 p.m.