Triple
T23126556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HWV 61 |
E577046
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Nitocris |
—
|
NE NERFINISHED |
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: Nitocris | Statement: [HWV 61, hasCharacter, Nitocris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nitocris Context triple: [HWV 61, hasCharacter, Nitocris]
-
A.
Nitocris
chosen
Nitocris is a character in the biblical Book of Daniel, often depicted in later traditions as the wife or queen associated with Belshazzar during the fall of Babylon.
-
B.
Nitocris I
Nitocris I was an ancient Egyptian princess of the 26th Dynasty, known primarily as a daughter of Pharaoh Psamtik I.
-
C.
Semiramis
Semiramis is a legendary Assyrian queen of antiquity, famed in classical and medieval tradition for her beauty, political power, and ambitious building projects.
-
D.
Sophonisbe
Sophonisbe is a dramatic work by 19th-century German poet Emanuel Geibel, inspired by the tragic Carthaginian noblewoman Sophonisba from ancient history.
-
E.
Shepseheret
Shepseheret was an ancient Egyptian queen, known primarily as the wife of King Merenkahre.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e5482588190b95b36075ecc7f24 |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.