Triple
T29920165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mildred Aldrich |
E759902
|
entity |
| Predicate | placeOfResidenceDuringEvent |
P49534
|
FINISHED |
| Object | Huisseau-sur-Mauves, Loiret, France |
—
|
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: Huisseau-sur-Mauves, Loiret, France | Statement: [Mildred Aldrich, placeOfResidenceDuringEvent, Huisseau-sur-Mauves, Loiret, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfResidenceDuringEvent Context triple: [Mildred Aldrich, placeOfResidenceDuringEvent, Huisseau-sur-Mauves, Loiret, France]
-
A.
residenceDuringEvent
chosen
Indicates that an entity resides or is located at a particular place for the duration of a specified event.
-
B.
residenceDuringLife
Indicates that an entity lived or resided in a particular place during some period of its lifetime.
-
C.
locatedInCountryDuringEvent
Indicates that an entity was situated within a specific country for the duration or at the time of a particular event.
-
D.
residenceDuringCareer
Indicates the place where an individual lived for a significant period while pursuing their professional career.
-
E.
residedOn
Indicates that an entity lived or had its primary dwelling at a specific location during a certain 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 29, 2026, 6:14 p.m.