Triple
T33975701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmose-Meritamun |
E871132
|
entity |
| Predicate | hasTitleInHieroglyphs |
P85001
|
FINISHED |
| Object | titles inscribed on her coffin and funerary equipment |
—
|
LITERAL 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: titles inscribed on her coffin and funerary equipment | Statement: [Ahmose-Meritamun, hasTitleInHieroglyphs, titles inscribed on her coffin and funerary equipment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInHieroglyphs Context triple: [Ahmose-Meritamun, hasTitleInHieroglyphs, titles inscribed on her coffin and funerary equipment]
-
A.
hasTitleInInscription
chosen
Indicates that an entity is mentioned with a specific title or designation within an inscription.
-
B.
nameInHieroglyphs
Indicates that an entity’s name is written or represented using hieroglyphic script.
-
C.
cultTitleOfPharaoh
Indicates that the object is the cultic or religious title held by the pharaoh specified as the subject.
-
D.
hasSerekhName
Indicates that an entity (typically a ruler) possesses a specific serekh name, the early royal name written within a serekh frame.
-
E.
titleInEgyptian
Indicates that one entity is the title or designation of another entity as written or expressed in the Egyptian language.
- F. None of above.
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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: May 1, 2026, 1:50 a.m.