Triple
T15676642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Gut-Behrami |
E377459
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Lara Gut |
E377459
|
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: Lara Gut | Statement: [Lara Gut-Behrami, birthName, Lara Gut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lara Gut Context triple: [Lara Gut-Behrami, birthName, Lara Gut]
-
A.
Lara Vega
Lara Vega is a determined and resourceful Washington, D.C. homicide detective in the science-fiction crime drama series "Minority Report."
-
B.
Lara Lea Yunaska
Lara Lea Yunaska is an American television producer and political figure best known as Lara Trump, the wife of Eric Trump and a prominent surrogate and adviser in Donald Trump’s political campaigns.
-
C.
Tatiana Lappa
Tatiana Lappa was the first wife of Russian writer Mikhail Bulgakov, known primarily through biographical accounts of his early life and career.
-
D.
Laryssa Lauret
Laryssa Lauret was a Ukrainian-American actress known for her work in film, television, and theater, including a role in the 2005 film "Everything Is Illuminated."
-
E.
Lara Gut-Behrami
chosen
Lara Gut-Behrami is a Swiss World Cup alpine ski racer and Olympic champion known for her success in speed events such as super-G and downhill.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2e10a4819097eba1ea31e36ac2 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82ebe98481908d528d2cba485de4 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:16 a.m.