Triple
T24488277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santos administration |
E617573
|
entity |
| Predicate | hasFirstLady |
P92000
|
FINISHED |
| Object | Helen Santos |
—
|
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: Helen Santos | Statement: [Santos administration, hasFirstLady, Helen Santos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstLady Context triple: [Santos administration, hasFirstLady, Helen Santos]
-
A.
stateFirstLadyOf
Indicates that a person holds or has held the official role of First Lady for a given state.
-
B.
firstLady
chosen
Indicates that a person holds the role or status of First Lady in relation to a specific political leader, office, or country.
-
C.
hasFirstLadyMember
Indicates that an entity has, as a member, a woman who holds the role or title of First Lady.
-
D.
precededAsFirstLadyOfTheUnitedStatesBy
Indicates that one person served as First Lady of the United States immediately before another person.
-
E.
servedAsFirstLadyOfTheUnitedStatesFrom
Indicates that a person held the role of First Lady of the United States during a specified time 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.