Triple
T31162989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Althusser |
E794389
|
entity |
| Predicate | killingLocation |
P64889
|
FINISHED |
| Object | École normale supérieure, Paris |
—
|
NE NERFINISHED |
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: École normale supérieure, Paris | Statement: [Louis Althusser, killingLocation, École normale supérieure, Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: killingLocation Context triple: [Louis Althusser, killingLocation, École normale supérieure, Paris]
-
A.
placeOfKilling
chosen
Indicates the location where a killing event took place.
-
B.
killedNear
Indicates that one entity killed another in close spatial proximity to a specified location or reference point.
-
C.
assassinationAttemptLocation
Indicates the place where an attempted assassination occurred or was intended to occur.
-
D.
killedBy
Indicates that one entity caused the death of another entity.
-
E.
placeOfDeath
Indicates the location where an entity (typically a person or animal) died.
- 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_69f224d504908190b01278dcb7fc3fa7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:07 p.m.