Triple
T23086184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline Lavinia Scott |
E575606
|
entity |
| Predicate | firstLadyNumber |
P150872
|
FINISHED |
| Object | 23rd presidency (First Lady during Benjamin Harrison’s term) |
—
|
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: 23rd presidency (First Lady during Benjamin Harrison’s term) | Statement: [Caroline Lavinia Scott, firstLadyNumber, 23rd presidency (First Lady during Benjamin Harrison’s term)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLadyNumber Context triple: [Caroline Lavinia Scott, firstLadyNumber, 23rd presidency (First Lady during Benjamin Harrison’s term)]
-
A.
firstLady
Indicates that a person holds the role or status of First Lady in relation to a specific political leader, office, or country.
-
B.
stateFirstLadyOf
Indicates that a person holds or has held the official role of First Lady for a given state.
-
C.
firstLadyTermApproximateStart
Indicates the approximate date when a person’s tenure as First Lady began.
-
D.
hasFirstLadyMember
Indicates that an entity has, as a member, a woman who holds the role or title of First Lady.
-
E.
precededAsFirstLadyOfTheUnitedStatesBy
Indicates that one person served as First Lady of the United States immediately before another person.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da573588190a8e0c859667e64a6 |
completed | April 29, 2026, 4:48 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:57 p.m.