Triple
T11292601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikaela Shiffrin |
E267364
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Shiffrin
Shiffrin is the surname of American alpine ski racer Mikaela Shiffrin, one of the most successful World Cup skiers in history.
|
E915703
|
NE FINISHED |
How this triple was built (4 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: Shiffrin | Statement: [Mikaela Shiffrin, familyName, Shiffrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiffrin Context triple: [Mikaela Shiffrin, familyName, Shiffrin]
-
A.
Tuiskon Ziller
Tuiskon Ziller was a 19th-century German philosopher and educator known for developing and systematizing Herbartian pedagogy, significantly shaping modern educational theory.
-
B.
Ziller
The Ziller is a river in the Austrian state of Tyrol that flows through the Zillertal valley before joining the Inn River.
-
C.
Piper Skih
Piper Skih is a musician best known for having been a member of the American alternative rock band Blue October.
-
D.
Sattler
Sattler is a German-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
-
E.
Nieves
Nieves is a Spanish-language surname commonly found in Puerto Rico and other Spanish-speaking regions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shiffrin Triple: [Mikaela Shiffrin, familyName, Shiffrin]
Generated description
Shiffrin is the surname of American alpine ski racer Mikaela Shiffrin, one of the most successful World Cup skiers in history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shiffrin Target entity description: Shiffrin is the surname of American alpine ski racer Mikaela Shiffrin, one of the most successful World Cup skiers in history.
-
A.
Tuiskon Ziller
Tuiskon Ziller was a 19th-century German philosopher and educator known for developing and systematizing Herbartian pedagogy, significantly shaping modern educational theory.
-
B.
Ziller
The Ziller is a river in the Austrian state of Tyrol that flows through the Zillertal valley before joining the Inn River.
-
C.
Piper Skih
Piper Skih is a musician best known for having been a member of the American alternative rock band Blue October.
-
D.
Sattler
Sattler is a German-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
-
E.
Nieves
Nieves is a Spanish-language surname commonly found in Puerto Rico and other Spanish-speaking regions.
- F. None of above. chosen
Provenance (5 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e989fdac81909a4a75f1f68b55c6 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f4a57d6881909a1e65744111ad8b |
completed | April 19, 2026, 3:28 p.m. |
| NEDg | Description generation | batch_69e4f95cbc7c819082e3d7c3c3266708 |
completed | April 19, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff73f3348190abfd28f716c61105 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 8, 2026, 9:32 p.m.