Triple
T28549424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Eldredge |
E722839
|
entity |
| Predicate | worldChampionInFigureSkating |
P180506
|
FINISHED |
| Object | 1996 |
—
|
LITERAL 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: 1996 | Statement: [Todd Eldredge, worldChampionInFigureSkating, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionInFigureSkating Context triple: [Todd Eldredge, worldChampionInFigureSkating, 1996]
-
A.
EuropeanChampionInFigureSkating
Indicates that an entity has won the European championship title in figure skating.
-
B.
championIceDance
Indicates that one entity is the champion in the discipline of ice dance, typically in relation to a specific competition, event, or title.
-
C.
iceDanceChampion
Indicates that the subject is the winner or titleholder of a competitive ice dancing event or championship.
-
D.
winnerIceDance
Indicates that one entity is the winner of an ice dance competition or event in relation to another specified context (such as a competition, year, or performance).
-
E.
figureSkatingLadiesGoldMedalist
Indicates that the subject is the female figure skater who won the gold medal in a specified ladies' figure skating event.
- F. None of above. chosen
Provenance (4 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69f7431aac148190bb6aac59817c174a |
completed | May 3, 2026, 12:44 p.m. |
Created at: April 28, 2026, 3:41 a.m.