Triple
T34268522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron of Rosny |
E879240
|
entity |
| Predicate | connectedOfficeHolder |
P199667
|
FINISHED |
| Object | chief minister of Henry IV of France |
—
|
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: chief minister of Henry IV of France | Statement: [Baron of Rosny, connectedOfficeHolder, chief minister of Henry IV of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedOfficeHolder Context triple: [Baron of Rosny, connectedOfficeHolder, chief minister of Henry IV of France]
-
A.
officeHeldTogetherWith
Indicates that two or more individuals simultaneously held the same office or position during an overlapping period.
-
B.
mentionsOffice
Indicates that one entity explicitly refers to or brings up an office (such as a workplace, office location, or office role) in relation to another entity.
-
C.
officeIsPartOf
Indicates that an office is a component or subdivision within a larger organizational or structural entity.
-
D.
usedForOfficeHolder
Indicates that something is used in connection with, or in the capacity of, holding a particular office or official position.
-
E.
includedOffice
Indicates that one office is contained within, or forms part of, another office or organizational unit.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
| PDg | Predicate description generation | batch_69ff4de56fd48190aefdbf13c70f76ce |
completed | May 9, 2026, 3:08 p.m. |
Created at: May 1, 2026, 1:56 a.m.