Triple
T4961458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmanuel Philibert of Savoy, Count of Dreux |
E111416
|
entity |
| Predicate | titleHeldThrough |
P61453
|
FINISHED |
| Object | dynastic ties to the French crown |
—
|
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: dynastic ties to the French crown | Statement: [Emmanuel Philibert of Savoy, Count of Dreux, titleHeldThrough, dynastic ties to the French crown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHeldThrough Context triple: [Emmanuel Philibert of Savoy, Count of Dreux, titleHeldThrough, dynastic ties to the French crown]
-
A.
titleHeldDuringPeriod
Indicates that an entity held a specific title or position for the duration of a given time period.
-
B.
titleHeldIn
Indicates that a particular title or position is held within a specified organization, jurisdiction, or contextual domain.
-
C.
heldTitleUntil
Indicates that an entity possessed or held a specific title or position continuously up to a particular end date or point in time.
-
D.
heldTitleFrom
Indicates that an entity possessed or held a particular title starting from a specified point in time.
-
E.
titleHolderSince
Indicates the entity that has held a particular title or position continuously from a specified starting time.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd72e1b7cc8190b2e621fdf8f22e38 |
completed | March 20, 2026, 4:16 p.m. |
Created at: March 20, 2026, 1:32 p.m.