Triple
T16008098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AJ Michalka |
E388269
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Amanda Joy Michalka |
E388269
|
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: Amanda Joy Michalka | Statement: [AJ Michalka, birthName, Amanda Joy Michalka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Joy Michalka Context triple: [AJ Michalka, birthName, Amanda Joy Michalka]
-
A.
Alyson Michalka
Alyson Michalka is an American actress and singer best known as one half of the pop duo Aly & AJ and for her roles in Disney Channel productions and television series like "Phil of the Future" and "iZombie."
-
B.
AJ Michalka
chosen
AJ Michalka is an American actress and singer known for her roles in film and television and as one half of the musical duo Aly & AJ.
-
C.
Laura Marano
Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
-
D.
Hayley Schore
Hayley Schore is a television writer and producer best known for co-creating the medical drama series "The Resident."
-
E.
Rachel Van Dyken
Rachel Van Dyken is a contemporary American author best known for her popular romance novels and New York Times bestselling series.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15800e3608190bd3e1123ccc6c326 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff794c8508190a444af7ce968c5da |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 4:55 a.m.