Triple
T7372953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peribsen |
E170053
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Nynetjer |
E634046
|
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: Nynetjer | Statement: [Peribsen, predecessor, Nynetjer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nynetjer Context triple: [Peribsen, predecessor, Nynetjer]
-
A.
Nynetjer
chosen
Nynetjer was an early Egyptian pharaoh of the Second Dynasty, known from archaeological and inscriptional evidence as a ruler during the formative period of the ancient Egyptian state.
-
B.
Netersel
Netersel is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Bladel.
-
C.
Nete
The Nete is a river in Belgium that flows through the Flemish region and serves as one of the main tributaries forming the Rupel River.
-
D.
Netia
Netia is one of Poland’s leading telecommunications providers, offering broadband internet and related services to residential and business customers nationwide.
-
E.
The Net
The Net is a 1995 techno-thriller film starring Sandra Bullock as a computer analyst whose identity is erased by cybercriminals, directed by Irwin Winkler.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a50898819087097a64e09e19eb |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802caa9988190bdc0ed5d5dd15979 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.