Triple
T8524103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuy Castillos |
E201767
|
entity |
| Predicate | appearsAlongside |
P25756
|
FINISHED |
| Object | Sophia Petrillo |
E85795
|
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: Sophia Petrillo | Statement: [Chuy Castillos, appearsAlongside, Sophia Petrillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophia Petrillo Context triple: [Chuy Castillos, appearsAlongside, Sophia Petrillo]
-
A.
Sophia Petrillo
chosen
Sophia Petrillo is the sharp-tongued, witty Sicilian matriarch from the sitcom "The Golden Girls," known for her blunt humor and memorable one-liners.
-
B.
Justine Ciarrocchi
Justine Ciarrocchi is a film producer known for her work on contemporary American comedies such as "No Hard Feelings."
-
C.
Julia DeMato
Julia DeMato is an American singer and former cosmetologist best known for competing as a finalist on the second season of the television show American Idol.
-
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.
Mia Zottoli
Mia Zottoli is an American actress and model known for her roles in late-1990s and early-2000s erotic thrillers and B-movies.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe64362c88190b978a2544eec6e3e |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d3fabb08190a3ad63f9153ad44c |
completed | April 2, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:16 p.m.