Triple
T4814658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount of Offence |
E107157
|
entity |
| Predicate | associatedWithDeity |
P1481
|
FINISHED |
| Object | Molech |
E227153
|
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: Molech | Statement: [Mount of Offence, associatedWithDeity, Molech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molech Context triple: [Mount of Offence, associatedWithDeity, Molech]
-
A.
Moloch
chosen
Moloch is an ancient Near Eastern deity often associated with child sacrifice and later demonized in Jewish, Christian, and modern cultural traditions.
-
B.
Baal
Baal is a prominent ancient Near Eastern storm and fertility god widely worshipped across Phoenician and Canaanite cultures.
-
C.
Baal
Baal is a 1918 expressionist play by Bertolt Brecht that follows the amoral, self-destructive life of a bohemian poet.
-
D.
Nergal
Nergal is an ancient Mesopotamian god associated primarily with war, plague, and the underworld.
-
E.
Dagon
Dagon is an ancient Semitic deity, often associated with grain, fertility, and sometimes the sea, worshipped across regions including Phoenicia and Mesopotamia.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c80ce048190a7c9f14431d7c62f |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4db1b67c81908272d8b7e7e4e1f1 |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:23 p.m.