Triple
T1667271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Be Best initiative |
E36040
|
entity |
| Predicate | positionHeldByFounder |
P7059
|
FINISHED |
| Object | First Lady of the United States |
—
|
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: First Lady of the United States | Statement: [Be Best initiative, positionHeldByFounder, First Lady of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionHeldByFounder Context triple: [Be Best initiative, positionHeldByFounder, First Lady of the United States]
-
A.
positionHeld
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
B.
founderRole
chosen
Indicates that an entity serves as a founder in relation to another entity, specifying the role or capacity in which they established it.
-
C.
founder
Indicates that an entity established, created, or started another entity such as an organization, institution, or company.
-
D.
hasTypicalFounder
Indicates that an entity is commonly or characteristically founded or established by a particular type of founder.
-
E.
firstOfficeHolder
Indicates that the subject is the very first individual to hold a particular office or position associated with the object.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abc0e8d5648190915ff689c7ca42bc |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69a907d331748190963d4ab1a2741537 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.