Triple
T29190860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Leroy |
E739984
|
entity |
| Predicate | castsAsSwanQueen |
P166764
|
FINISHED |
| Object | Nina Sayers |
—
|
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: Nina Sayers | Statement: [Thomas Leroy, castsAsSwanQueen, Nina Sayers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: castsAsSwanQueen Context triple: [Thomas Leroy, castsAsSwanQueen, Nina Sayers]
-
A.
royalHouseAsQueen
Indicates that a person serves or has served as queen within a specified royal house or dynasty.
-
B.
crownTransformedInto
Indicates that a crown undergoes a change of state or form, resulting in it becoming a different specified object or condition.
-
C.
princessOf
Indicates that one entity holds the royal title or role of princess in relation to another entity, typically a realm, family, or sovereign.
-
D.
mythologicalQueen
Indicates that one entity is a queen who exists within mythology, legend, or folklore rather than historical reality.
-
E.
appointedAsMasterOfTheQueensMusic
Indicates that an entity has been formally appointed to hold the position of Master of the Queen’s Music.
- F. None of above. chosen
Provenance (4 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6638aa68c8190a02fd50ecd5a96fd |
completed | May 2, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661e9cb308190a56e25dc17df248e |
completed | May 2, 2026, 8:43 p.m. |
Created at: April 28, 2026, 12:02 p.m.