Triple
T34809826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meursault |
E1003466
|
entity |
| Predicate | motherLivesIn |
P181503
|
FINISHED |
| Object | Marengo nursing home |
—
|
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: Marengo nursing home | Statement: [Meursault, motherLivesIn, Marengo nursing home]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motherLivesIn Context triple: [Meursault, motherLivesIn, Marengo nursing home]
-
A.
motherIs
Indicates that one entity is the mother (biological or adoptive) of another entity.
-
B.
motherWas
Indicates that one entity was the mother (biological or adoptive) of another entity at some time in the past.
-
C.
motherOfResident
Indicates that one person is the mother of a person who resides in a particular place or facility.
-
D.
motherFrom
Indicates that one entity is the mother (biological or adoptive) of another entity, specifying a maternal parent-child relationship from the mother to the child.
-
E.
motherIn
Indicates that one entity is the mother of another entity within a specified context or domain.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ab248748190858420c09bbdba32 |
completed | May 3, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77a39135081908ae22d2a23b44e74 |
completed | May 3, 2026, 4:39 p.m. |
Created at: May 3, 2026, 3:59 p.m.