Triple
T17971011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meketaten |
E449338
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Meritaten |
—
|
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: Meritaten | Statement: [Meketaten, sibling, Meritaten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meritaten Context triple: [Meketaten, sibling, Meritaten]
-
A.
Meritaten
chosen
Meritaten was an 18th Dynasty Egyptian princess and Great Royal Wife, best known as the eldest daughter of Pharaoh Akhenaten and Queen Nefertiti during the Amarna period.
-
B.
Meritene
Meritene is a Nestlé Health Science nutritional supplement brand offering products designed to support adults’ and seniors’ strength, vitality, and overall nutritional needs.
-
C.
Meritamen
Meritamen was an ancient Egyptian princess and queen of the 19th Dynasty, known as both the daughter and later Great Royal Wife of Pharaoh Ramesses II.
-
D.
Merit
Merit was an ancient Egyptian woman, likely of high social status, known primarily from her well-preserved tomb shared with her husband Maya at Saqqara.
-
E.
MER
MER is the former New York Stock Exchange ticker symbol for Merrill Lynch, the prominent U.S.-based investment bank and wealth management firm.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1fa67c48190936f20cea45e4599 |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.