Triple
T22044441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sekhemti |
E544723
|
entity |
| Predicate | composedOf |
P402
|
FINISHED |
| Object | Red Crown |
—
|
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: Red Crown | Statement: [Sekhemti, composedOf, Red Crown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Crown Context triple: [Sekhemti, composedOf, Red Crown]
-
A.
Red Crown
chosen
The Red Crown is the ancient Egyptian royal headdress symbolizing the authority and sovereignty of the ruler of Lower Egypt.
-
B.
Homagial Crown
The Homagial Crown is a ceremonial Polish royal crown historically used by monarchs during homage ceremonies and other state occasions.
-
C.
Crown
The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
-
D.
Crown
"Crown" is a reflective, gospel-infused hip-hop track by British rapper Stormzy that explores the pressures of fame, leadership, and personal responsibility.
-
E.
Crown
Crown is a prominent American business family name associated with influential industrialist and investor Lester Crown.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282d5bb08190849d5084962bf3a5 |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:25 p.m.