Triple
T5089768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Textus Receptus |
E114724
|
entity |
| Predicate | hasEnglishName |
P3437
|
FINISHED |
| Object | Received Text |
E114724
|
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: Received Text | Statement: [Textus Receptus, hasEnglishName, Received Text]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Received Text Context triple: [Textus Receptus, hasEnglishName, Received Text]
-
A.
Received Text
chosen
The Received Text, or Textus Receptus, is a historic printed Greek New Testament text that served as the primary basis for many early Protestant Bible translations, including the King James Version.
-
B.
Messages
Messages is Apple’s built-in messaging app for iOS, iPadOS, and macOS that supports SMS, MMS, and iMessage communication across Apple devices.
-
C.
MSG
MSG refers to U.S. Marine Security Guards, specialized Marine Corps personnel assigned to protect American embassies, consulates, and other diplomatic facilities worldwide.
-
D.
MSG
MSG is a subregional political and economic organization that promotes cooperation and solidarity among Melanesian countries and territories in the Pacific.
-
E.
MSG
MSG is a famous multi-purpose indoor arena in New York City known for hosting major sports events, concerts, and entertainment spectacles.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75407e6881908d00377a256ff37e |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb1489ffc8190af95b90debb88d63 |
completed | March 21, 2026, 2:55 p.m. |
Created at: March 20, 2026, 1:40 p.m.