Triple
T12671769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tell the Ones I Love |
E302700
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Mike Guggino |
E306279
|
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: Mike Guggino | Statement: [Tell the Ones I Love, performer, Mike Guggino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Guggino Context triple: [Tell the Ones I Love, performer, Mike Guggino]
-
A.
Mike Guggino
chosen
Mike Guggino is an American mandolinist and harmony vocalist best known as a longtime member of the bluegrass band Steep Canyon Rangers.
-
B.
Michael Fimognari
Michael Fimognari is an American cinematographer and director known for his work on films such as "Before I Fall" and the "To All the Boys I've Loved Before" series.
-
C.
John Cusimano
John Cusimano is an American lawyer, musician, and television producer best known as the longtime husband of celebrity chef and TV host Rachael Ray.
-
D.
Michael Goulian
Michael Goulian is an American aerobatic champion and airshow performer best known for competing at the highest level in international air racing events.
-
E.
Charles Cioffi
Charles Cioffi is an American character actor known for his supporting roles in film and television, particularly in dramas and crime series from the 1970s and 1980s.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f082b6481909950c8c4cb854440 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 5:20 p.m.