Triple
T14549808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USA Hockey Distinguished Achievement Award |
E341384
|
entity |
| Predicate | hasRecipient |
P108
|
FINISHED |
| Object | Cammi Granato |
E35930
|
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: Cammi Granato | Statement: [USA Hockey Distinguished Achievement Award, hasRecipient, Cammi Granato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cammi Granato Context triple: [USA Hockey Distinguished Achievement Award, hasRecipient, Cammi Granato]
-
A.
Cammi Granato
chosen
Cammi Granato is a pioneering American ice hockey player and Olympic gold medalist who became one of the first women inducted into the Hockey Hall of Fame.
-
B.
Gianna Fregonara
Gianna Fregonara is an Italian journalist known for her work in national media and her marriage to politician Enrico Letta.
-
C.
Gianna Marino
Gianna Marino is a children's book illustrator and author known for her expressive, nature-rich artwork and storytelling.
-
D.
Nicole Grimaudo
Nicole Grimaudo is an Italian actress known for her work in film, television, and theater, including prominent roles in contemporary Italian cinema.
-
E.
Jessica DiCicco
Jessica DiCicco is an American voice actress known for her work in numerous animated television series and films, including roles on shows like Adventure Time and The Loud House.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ed2b4c8190945bd26531c71f1f |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a6344b08190a3c1124c6dd7da96 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:23 a.m.