Triple
T13486578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Lot Like Love |
E318518
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Aimee Garcia |
E518419
|
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: Aimee Garcia | Statement: [A Lot Like Love, castMember, Aimee Garcia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aimee Garcia Context triple: [A Lot Like Love, castMember, Aimee Garcia]
-
A.
Aimee Garcia
chosen
Aimee Garcia is an American actress best known for her television roles on shows like "Dexter" and "Lucifer," as well as her work in film and voice acting.
-
B.
Jaina Lee Ortiz
Jaina Lee Ortiz is an American actress best known for her starring role as firefighter Andy Herrera on the television drama series "Station 19."
-
C.
Melonie Diaz
Melonie Diaz is an American actress known for her work in independent films and television, including prominent roles in projects like "Fruitvale Station" and the "Charmed" reboot.
-
D.
Nicole Glor
Nicole Glor is a fitness instructor, author, and media personality known for her workout programs and marriage to journalist Jeff Glor.
-
E.
Zabryna Guevara
Zabryna Guevara is an American actress known for her roles in television series such as "Gotham" and "Emergence," as well as her work in film and theater.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942424bc8190af98462f6b7a93a4 |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 9, 2026, 9:42 p.m.