Triple
T28493737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaston Doumergue (cenotaph) |
E721046
|
entity |
| Predicate | honorsOfficeHeldByPerson |
P161674
|
FINISHED |
| Object | President 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: President of France | Statement: [Gaston Doumergue (cenotaph), honorsOfficeHeldByPerson, President of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsOfficeHeldByPerson Context triple: [Gaston Doumergue (cenotaph), honorsOfficeHeldByPerson, President of France]
-
A.
honorsOfficeHolder
chosen
Indicates that one entity formally recognizes or pays tribute to an individual who holds or has held a particular office or position.
-
B.
possibleOfficeHeld
Indicates that an entity may have held, or is a candidate to have held, a particular office or position, without asserting it as a confirmed fact.
-
C.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
D.
officeHoldersHaveRole
Indicates that individuals or entities holding an office possess or are assigned a specific role associated with that office.
-
E.
alsoHoldsOfficeOf
Indicates that an entity currently holding one office or position simultaneously holds another office or position as well.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 28, 2026, 3:03 a.m.