Triple
T3330256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neriglissar |
E70015
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Neriglissar |
E70015
|
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: Neriglissar | Statement: [Neriglissar, name, Neriglissar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neriglissar Context triple: [Neriglissar, name, Neriglissar]
-
A.
Neriglissar
chosen
Neriglissar was a 6th-century BCE king of the Neo-Babylonian Empire, known for seizing the throne after Nebuchadnezzar II’s son and for his building projects in Babylon.
-
B.
Urshanabi
Urshanabi is the boatman in the Epic of Gilgamesh who ferries Gilgamesh across the Waters of Death to meet the immortal Utnapishtim.
-
C.
Sharurah
Sharurah is a remote desert city in southern Saudi Arabia near the Yemeni border, known as a growing urban center within the Najran Region.
-
D.
Labashi-Marduk
Labashi-Marduk was a short-reigning Neo-Babylonian king, likely the son of Neriglissar, who was overthrown in a conspiracy soon after ascending the throne in the 6th century BCE.
-
E.
Dinarzad
Dinarzad is a character in The Arabian Nights, known as Shahrazad’s younger sister who prompts her to tell stories each night to the king.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb171ee0881908642504ab0ac8329 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3545abce08190860566592e4e2239 |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 8, 2026, 3:12 p.m.