Triple
T17357072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Getzlaf |
E421964
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Getzlaf |
E421964
|
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: Getzlaf | Statement: [Ryan Getzlaf, familyName, Getzlaf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Getzlaf Context triple: [Ryan Getzlaf, familyName, Getzlaf]
-
A.
Getzlaf
chosen
Getzlaf is a surname most prominently associated with Canadian former NHL star Ryan Getzlaf, a long-time captain of the Anaheim Ducks.
-
B.
Zerbe
Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
-
C.
Luske
Luske is a surname most notably associated with Hamilton Luske, an American animator and film director for Walt Disney Studios.
-
D.
Lutze
Lutze is a German surname most notably associated with Viktor Lutze, a high-ranking Nazi official and head of the Sturmabteilung (SA) in the 1930s.
-
E.
Luetkemeyer
Luetkemeyer is the birth surname of American actress Julie Bowen, known for her roles in television and film.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4976788190b00c00f710be6c46 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01955c37b48190bcef819e106005d2 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.