Triple
T6162266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mia Thermopolis |
E137468
|
entity |
| Predicate | friend |
P8712
|
FINISHED |
| Object | Michael Moscovitz |
E574374
|
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: Michael Moscovitz | Statement: [Mia Thermopolis, friend, Michael Moscovitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Moscovitz Context triple: [Mia Thermopolis, friend, Michael Moscovitz]
-
A.
Michael Moscovitz
chosen
Michael Moscovitz is a central character in Meg Cabot’s "The Princess Diaries" series, known as Mia Thermopolis’s witty, musically inclined romantic interest and eventual boyfriend.
-
B.
Michael Shvo
Michael Shvo is a high-profile real estate developer and art collector known for leading luxury property projects in major global cities.
-
C.
Michael Greenburg
Michael Greenburg is an American film and television producer best known for his work on projects such as the series "Stargate SG-1" and for his former marriage to actress Sharon Stone.
-
D.
Michael Greenberg
Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
-
E.
Michael Markowitz
Michael Markowitz is an American comedy writer best known for co-writing the hit film "Horrible Bosses."
- 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.