Triple
T8208418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empereur des Français |
E191747
|
entity |
| Predicate | titleHolderCount |
P4419
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Empereur des Français, titleHolderCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderCount Context triple: [Empereur des Français, titleHolderCount, 2]
-
A.
titleCount
chosen
Indicates the number of distinct titles associated with an entity within a given context.
-
B.
titleHolderIs
Indicates that one entity currently holds or possesses a specific title associated with another entity.
-
C.
titleHolderSince
Indicates the entity that has held a particular title or position continuously from a specified starting time.
-
D.
titleHolderType
Indicates the specific role or capacity in which an entity holds a title (e.g., owner, trustee, beneficiary).
-
E.
titleHolderIsUsually
Indicates that an entity serving as a title holder is typically or most commonly a particular type or category of entity.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb726d26ec8190957da68227f5ce61 |
completed | March 31, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:43 p.m.