Triple
T24064025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bashir Gemayel |
E596036
|
entity |
| Predicate | didNotTakeOffice |
P8829
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bashir Gemayel, didNotTakeOffice, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: didNotTakeOffice Context triple: [Bashir Gemayel, didNotTakeOffice, true]
-
A.
notElectedBy
Indicates that an individual or entity did not attain a position, role, or status through the voting or selection process of a specified group or electorate.
-
B.
didNotSeekReelection
Indicates that an officeholder chose not to run again for their current position at the end of their term.
-
C.
didNotHold
chosen
Indicates that an expected event, condition, or relationship failed to occur or be valid.
-
D.
losesElectionFor
Indicates that one candidate is defeated by another candidate in a specific election for a particular office or position.
-
E.
hadOutgoingPresidentAbsent
Indicates that an entity had an outgoing president who was not present or did not participate during a specified event or time period.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da598dec8190a625309fd8f10f1d |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:39 p.m.