Triple
T4768982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albam |
E105878
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Atbash |
E105879
|
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: Atbash | Statement: [Albam, relatedTo, Atbash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atbash Context triple: [Albam, relatedTo, Atbash]
-
A.
Atbash
chosen
Atbash is a classical Hebrew substitution cipher that encodes text by reversing the alphabet so that each letter is replaced by its counterpart from the opposite end.
-
B.
Abjad
Abjad is a type of writing system that primarily represents consonants, leaving most vowels unmarked or optional.
-
C.
Baconian method
The Baconian method is a systematic approach to scientific inquiry that emphasizes empirical observation, experimentation, and inductive reasoning to derive general principles from particular facts.
-
D.
Gematria
Gematria is a traditional Jewish numerological system that assigns numerical values to letters and words to uncover hidden meanings and connections in sacred texts.
-
E.
Aleph
Aleph is a spiritual and autobiographical novel by Brazilian author Paulo Coelho that explores themes of faith, destiny, and personal transformation through a journey across Russia.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6537eb80819096e0ae906c59d605 |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a8f7318819088839becd09577ce |
completed | March 21, 2026, 6:28 a.m. |
Created at: March 20, 2026, 1:21 p.m.