Triple
T5127810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Ionesco |
E115624
|
entity |
| Predicate | electedToAcadémieFrançaise |
P7485
|
FINISHED |
| Object | 1970 |
—
|
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: 1970 | Statement: [Eugene Ionesco, electedToAcadémieFrançaise, 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electedToAcadémieFrançaise Context triple: [Eugene Ionesco, electedToAcadémieFrançaise, 1970]
-
A.
electedFellowOf
Indicates that an individual has been formally chosen and granted the status of fellow by a particular organization or institution.
-
B.
hasLaureate
Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
-
C.
inductedInto
chosen
Indicates that an entity has been formally admitted or entered into a group, organization, hall of fame, or similar body, typically as an honor or official recognition.
-
D.
hasHonoraryDegreeFrom
Indicates that an individual has been awarded an honorary degree by a particular institution.
-
E.
officeHoldersTitleInFrench
Indicates that an office holder’s official title is expressed in the French language.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
Created at: March 20, 2026, 1:42 p.m.