Triple
T32823264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Egypt |
E839487
|
entity |
| Predicate | oftenHeldTitle |
P143865
|
FINISHED |
| Object | Great Royal Wife |
—
|
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: Great Royal Wife | Statement: [Queen of Egypt, oftenHeldTitle, Great Royal Wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenHeldTitle Context triple: [Queen of Egypt, oftenHeldTitle, Great Royal Wife]
-
A.
oftenHoldsTitle
chosen
Indicates that an entity frequently or customarily possesses or is associated with a particular title or designation.
-
B.
oftenHeldAs
Indicates that one entity is frequently regarded, considered, or believed to be in a particular way with respect to another entity or property.
-
C.
oftenHeldWith
Indicates that one entity is frequently possessed, carried, or kept together with another entity at the same time.
-
D.
oftenHeldOn
Indicates that an event or activity typically takes place on a particular date, day, or time.
-
E.
titleHeldIn
Indicates that a particular title or position is held within a specified organization, jurisdiction, or contextual domain.
- 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_69f3493df9008190a8f5d843dcd77704 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: May 1, 2026, 1:15 a.m.