Triple
T18714883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Means Appleton Pierce |
E457608
|
entity |
| Predicate | limitedPublicRoleAsFirstLady |
P132401
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Jane Means Appleton Pierce, limitedPublicRoleAsFirstLady, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: limitedPublicRoleAsFirstLady Context triple: [Jane Means Appleton Pierce, limitedPublicRoleAsFirstLady, true]
-
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.
servedAsFirstLadyOfTheUnitedStatesFrom
Indicates that a person held the role of First Lady of the United States during a specified time period.
-
D.
firstLadyTermApproximateStart
Indicates the approximate date when a person’s tenure as First Lady began.
-
E.
ageAtStartOfFirstLadyRole
Indicates the age a person was when they first assumed the role of First Lady.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab4ee6881908f19558937cbb078 |
completed | April 19, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69e478e0889c8190a118d67b200ce8ef |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:50 a.m.