Triple
T32873888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Jane Grey in Tudor Rose (1936 film) |
E840868
|
entity |
| Predicate | depictsNickname |
P1581
|
FINISHED |
| Object | Nine Days’ Queen |
E531297
|
NE 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: Nine Days’ Queen | Statement: [Lady Jane Grey in Tudor Rose (1936 film), depictsNickname, Nine Days’ Queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsNickname Context triple: [Lady Jane Grey in Tudor Rose (1936 film), depictsNickname, Nine Days’ Queen]
-
A.
depictsName
Indicates that something visually represents or portrays the name of an entity.
-
B.
depictsAlias
Indicates that one entity visually represents another entity under an alternative name, label, or alias.
-
C.
representsNickname
Indicates that one entity serves as a nickname or informal alternative name for another entity.
-
D.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
E.
propNickname
Indicates that one entity is used as a nickname or informal alternative name for another entity.
- F. None of above.
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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34bd1909ac81908dfc7c4c217fa6b4 |
completed | June 19, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 1, 2026, 1:18 a.m.