Triple
T11369970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Ligety |
E269315
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ligety
Ligety is the surname of American alpine ski racer Ted Ligety, a multiple Olympic and World Championship gold medalist known for his dominance in giant slalom.
|
E921816
|
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: Ligety | Statement: [Ted Ligety, familyName, Ligety]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ligety Context triple: [Ted Ligety, familyName, Ligety]
-
A.
Larkollen
Larkollen is a coastal village in southeastern Norway known for its beaches, holiday homes, and maritime recreation.
-
B.
The Slopes
The Slopes is a historic landscaped park in Buxton, Derbyshire, known for its terraced walks, ornamental gardens, and views over the town’s spa architecture.
-
C.
Shiffrin
Shiffrin is the surname of American alpine ski racer Mikaela Shiffrin, one of the most successful World Cup skiers in history.
-
D.
Ležáky
Ležáky is a small Czech village historically known for being completely destroyed by Nazi forces in 1942 in retaliation for resistance activities during World War II.
-
E.
Titlis
Titlis is a prominent mountain in the Swiss Alps, famous for its glacier, panoramic views, and popular cable car access near Engelberg.
- 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: Ligety Triple: [Ted Ligety, familyName, Ligety]
Generated description
Ligety is the surname of American alpine ski racer Ted Ligety, a multiple Olympic and World Championship gold medalist known for his dominance in giant slalom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ligety Target entity description: Ligety is the surname of American alpine ski racer Ted Ligety, a multiple Olympic and World Championship gold medalist known for his dominance in giant slalom.
-
A.
Larkollen
Larkollen is a coastal village in southeastern Norway known for its beaches, holiday homes, and maritime recreation.
-
B.
The Slopes
The Slopes is a historic landscaped park in Buxton, Derbyshire, known for its terraced walks, ornamental gardens, and views over the town’s spa architecture.
-
C.
Shiffrin
Shiffrin is the surname of American alpine ski racer Mikaela Shiffrin, one of the most successful World Cup skiers in history.
-
D.
Ležáky
Ležáky is a small Czech village historically known for being completely destroyed by Nazi forces in 1942 in retaliation for resistance activities during World War II.
-
E.
Titlis
Titlis is a prominent mountain in the Swiss Alps, famous for its glacier, panoramic views, and popular cable car access near Engelberg.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea89e1148190b0ca29db9d7e2cbd |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5567b67f88190b0412e30b346d36d |
completed | April 19, 2026, 10:26 p.m. |
| NEDg | Description generation | batch_69e562c7de3c8190befb6d7131129a2c |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56a776390819082d47ad00cf1862b |
completed | April 19, 2026, 11:51 p.m. |
Created at: April 8, 2026, 9:33 p.m.