Triple
T29386362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Finland |
E745263
|
entity |
| Predicate | comparableRole |
P21749
|
FINISHED |
| Object | First Lady of the United States |
—
|
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: First Lady of the United States | Statement: [First Lady of Finland, comparableRole, First Lady of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparableRole Context triple: [First Lady of Finland, comparableRole, First Lady of the United States]
-
A.
comparativeRole
Indicates a relationship where one entity’s role is compared to another’s in terms of level, importance, or function.
-
B.
roleSimilarTo
chosen
Indicates that two entities have roles or functions that are alike or closely comparable in nature or responsibility.
-
C.
qualifyingRole
Indicates that an entity holds a role, position, or function that qualifies or entitles it (or another entity) to participate in a specified activity, status, or relationship.
-
D.
representedRole
Indicates that one entity serves as a stand-in, proxy, or representative performing a role on behalf of another entity.
-
E.
possibleRole
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 28, 2026, 2:39 p.m.