Triple
T6162245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mia Thermopolis |
E137468
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Meg Cabot |
E574319
|
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: Meg Cabot | Statement: [Mia Thermopolis, creator, Meg Cabot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meg Cabot Context triple: [Mia Thermopolis, creator, Meg Cabot]
-
A.
Meg Cabot
chosen
Meg Cabot is an American author best known for her popular young adult novels, particularly the bestselling "The Princess Diaries" series.
-
B.
Darren Star
Darren Star is an American television writer and producer best known for creating hit series such as "Sex and the City," "Beverly Hills, 90210," and "Melrose Place."
-
C.
Maria Dizzia
Maria Dizzia is an American actress known for her work in film, television, and theater, including roles in projects like "Orange Is the New Black" and various independent films.
-
D.
Audrey Maas
Audrey Maas is a film producer known for her work on the acclaimed 1974 drama "Alice Doesn't Live Here Anymore."
-
E.
Jessica Barth
Jessica Barth is an American actress best known for playing Tami-Lynn in the comedy films "Ted" and "Ted 2."
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d371484819090c18b62b095b49e |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ee26ed8819084a5cfd84ba9564e |
completed | March 23, 2026, 4:48 p.m. |
Created at: March 22, 2026, 4:17 p.m.