Triple
T18867165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inpw |
E461469
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Anpu |
—
|
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: Anpu | Statement: [Inpw, hasNameVariant, Anpu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anpu Context triple: [Inpw, hasNameVariant, Anpu]
-
A.
Anpu
chosen
Anpu is the ancient Egyptian name for Anubis, the jackal-headed god associated with mummification and the protection of the dead.
-
B.
Shapash
Shapash is the Phoenician sun goddess, often depicted as a powerful celestial deity associated with light, justice, and guidance among the gods and humans.
-
C.
Raneb
Raneb was an early ancient Egyptian pharaoh of the Second Dynasty, known for his association with the sun god Ra and for helping consolidate royal power in the formative period of the Egyptian state.
-
D.
Tanefer
Tanefer was an ancient Egyptian royal family member known primarily as a child of Pharaoh Amasis II of the 26th Dynasty.
-
E.
Nunkun
Nunkun is a prominent twin-peaked mountain massif in the Indian Himalayas, known for its challenging climbs and dramatic glaciated terrain.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a617548190be6044bf2c3de6d0 |
completed | April 20, 2026, 6:07 a.m. |
Created at: April 10, 2026, 11:57 a.m.