Triple
T1734747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hittite Empire |
E37895
|
entity |
| Predicate | pantheonIncludes |
P13203
|
FINISHED |
| Object | Storm god Tarhunt |
E38725
|
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: Storm god Tarhunt | Statement: [Hittite Empire, pantheonIncludes, Storm god Tarhunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storm god Tarhunt Context triple: [Hittite Empire, pantheonIncludes, Storm god Tarhunt]
-
A.
Baal
chosen
Baal is a prominent ancient Near Eastern storm and fertility god widely worshipped across Phoenician and Canaanite cultures.
-
B.
Baal
Baal is a 1918 expressionist play by Bertolt Brecht that follows the amoral, self-destructive life of a bohemian poet.
-
C.
Arimanes
Arimanes is a powerful supernatural spirit or ruler of the infernal realms who appears in Lord Byron’s dramatic poem "Manfred" as a dark, commanding presence.
-
D.
Marduk
Marduk is the chief god of Babylon in ancient Mesopotamian religion, associated with creation, kingship, and the defeat of the chaos monster Tiamat.
-
E.
Zahhak
Zahhak is a legendary tyrant king in Persian mythology, most famously depicted in Ferdowsi’s Shahnameh as a demonic ruler with serpents growing from his shoulders.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63a2168c819093d302632ff4b7c2 |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8afd15a881909a5d55dd960799d1 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.