Triple
T10627944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Granato |
E250370
|
entity |
| Predicate | sibling |
P363
|
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: [Tony Granato, sibling, Cammi Granato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cammi Granato Context triple: [Tony Granato, sibling, 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.
Samantha Boscarino
Samantha Boscarino is an American actress best known for her roles in teen-oriented television series and films, including a starring role on Nickelodeon’s "How to Rock."
-
E.
Gina Girolamo
Gina Girolamo is a television producer best known for her executive production work on the post-apocalyptic drama series "The 100."
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df9228088190bdd57a95d8671618 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96ba260b48190a5bde201ee3df69a |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 8:57 p.m.