Triple
T32589611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dauphine |
E833028
|
entity |
| Predicate | titleChangesTo |
P139248
|
FINISHED |
| Object | Queen of France (if husband becomes king) |
—
|
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: Queen of France (if husband becomes king) | Statement: [Dauphine, titleChangesTo, Queen of France (if husband becomes king)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleChangesTo Context triple: [Dauphine, titleChangesTo, Queen of France (if husband becomes king)]
-
A.
titleChangedBy
Indicates that an entity’s title has been modified as a result of an action performed by another specified entity.
-
B.
titleChangedWhen
chosen
Indicates that an entity’s title was changed at, or in relation to, a specific point in time or event.
-
C.
titleBecomes
Indicates that one title changes into or is replaced by another title over time.
-
D.
isTitleChange
Indicates that an entity’s title has been modified from a previous title to a new one.
-
E.
titleChangeMethod
Indicates the method or process by which a title is changed from one state or holder to another.
- 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_69f34929ff648190aded9424aa7564ae |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
Created at: May 1, 2026, 1:04 a.m.