Triple
T15604114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allyson Downey |
E375110
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Up the Academy |
E621752
|
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: Up the Academy | Statement: [Allyson Downey, notableWork, Up the Academy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Up the Academy Context triple: [Allyson Downey, notableWork, Up the Academy]
-
A.
Up the Academy
chosen
Up the Academy is a 1980 American teen comedy film, originally associated with Mad magazine, about misfit boys sent to a strict military academy.
-
B.
The Academy
The Academy is a prominent American professional organization of musicians, producers, and recording professionals best known for presenting the annual Grammy Awards.
-
C.
The Academy
The Academy is a renowned football youth development system celebrated for producing a steady stream of talented professional players.
-
D.
I School
The I School is the School of Information at the University of California, Berkeley, specializing in the study and design of information, data, and technology in their social context.
-
E.
On the Up
On the Up is a British television sitcom that follows the comic misadventures of a self-made millionaire and his household staff.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7d9328819090e93d55881269a5 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d1607c8190a42dc664abe45b32 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.