Triple
T17911327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenchi Muyo! |
E447823
|
entity |
| Predicate | animationStudio |
P7329
|
FINISHED |
| Object | AIC |
—
|
NE NERFINISHED |
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: AIC | Statement: [Tenchi Muyo!, animationStudio, AIC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AIC Context triple: [Tenchi Muyo!, animationStudio, AIC]
-
A.
AIC
chosen
AIC is a Japanese animation studio best known for producing popular anime series and OVAs, including the Tenchi Muyo! franchise.
-
B.
AIC
AIC is the ICAO airline designator used to identify Air India in international aviation operations and communications.
-
C.
AIC
AIC is the collective term for Australia’s national intelligence agencies responsible for gathering, assessing, and disseminating security and foreign intelligence.
-
D.
AIC
AIC is the vehicle registration code used on license plates for vehicles registered in the Aichach-Friedberg district in Bavaria, Germany.
-
E.
AICS
AICS is the Allen Institute for Cell Science, a research organization focused on understanding and modeling the structure and behavior of human cells.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea017d081908be850a39edf601f |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.