Triple
T43358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame X |
E852
|
entity |
| Predicate | sitterNationality |
P3043
|
FINISHED |
| Object | American-born French |
—
|
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: American-born French | Statement: [Madame X, sitterNationality, American-born French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sitterNationality Context triple: [Madame X, sitterNationality, American-born French]
-
A.
jurisdictionOfOccupant
Indicates the legal authority or control that an occupant exercises over a place, property, or domain.
-
B.
sibling
Indicates that two entities share at least one parent, making them brothers or sisters to each other.
-
C.
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.
-
D.
attendedBy
Indicates that an event, place, or activity is participated in or visited by a particular person or group.
-
E.
grandparent
Indicates that one entity is the parent of another entity’s parent.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24c083ad081909c1122c8fb29efdc |
completed | Feb. 28, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69a24aba9a2c81909f769a8f22e30c92 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24c0794c0819095509d970e05fc0f |
completed | Feb. 28, 2026, 1:59 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.