Triple
T9175757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fate/Grand Order - First Order |
E220194
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | MBS |
E771838
|
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: MBS | Statement: [Fate/Grand Order - First Order, originalNetwork, MBS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MBS Context triple: [Fate/Grand Order - First Order, originalNetwork, MBS]
-
A.
MBS
MBS is an abbreviation commonly used for the Mutual Broadcasting System, a historic American radio network that operated from the 1930s to the 1990s.
-
B.
MBS
chosen
MBS is a Japanese television network that has broadcast popular anime series such as Fullmetal Alchemist.
-
C.
MBSJ
MBSJ is the municipal council responsible for local governance and city management in Subang Jaya, Selangor, Malaysia.
-
D.
MBSY
MBSY is the ICAO airport code for the small airport serving Salt Cay in the Turks and Caicos Islands.
-
E.
MSB
MSB is the Turkish Ministry of National Defence, the government body responsible for overseeing Turkey’s armed forces and national defense policy.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa496548190a096969eebf732f3 |
completed | April 1, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054a87f3881908bda69238d2b97ab |
completed | April 4, 2026, midnight |
Created at: March 30, 2026, 7:23 p.m.