Triple
T28817054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The San Diego Daily Bee |
E727665
|
entity |
| Predicate | associatedWithNotableFigureRole |
P203466
|
FINISHED |
| Object | pioneering female lawyer |
—
|
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: pioneering female lawyer | Statement: [The San Diego Daily Bee, associatedWithNotableFigureRole, pioneering female lawyer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithNotableFigureRole Context triple: [The San Diego Daily Bee, associatedWithNotableFigureRole, pioneering female lawyer]
-
A.
usedByNotablePerson
Indicates that something is or has been used by a person who is widely recognized or notable.
-
B.
namedForNotablePersonFrom
Indicates that one entity is named in honor of a notable person who originates from another specified place or group.
-
C.
notableAuthorRole
Indicates that an entity holds a significant or distinguished role as an author in relation to another entity.
-
D.
notableBearerOfRole
chosen
Indicates that an entity is a particularly prominent or well-known holder or performer of a specified role.
-
E.
notableWorkRole
Indicates that a person’s role or position is specifically associated with the creation, performance, or contribution to a notable work.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a01e3a2d0e08190a7d5622920dc56e6 |
completed | May 11, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_6a01e3013e7881909f0cdca25a53c009 |
completed | May 11, 2026, 2:09 p.m. |
Created at: April 28, 2026, 6:33 a.m.