Triple
T449025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Secretary |
E7085
|
entity |
| Predicate | alternativeFormUsedFor |
P5887
|
FINISHED |
| Object | female United States Secretary of State |
—
|
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: female United States Secretary of State | Statement: [Mr. Secretary, alternativeFormUsedFor, female United States Secretary of State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeFormUsedFor Context triple: [Mr. Secretary, alternativeFormUsedFor, female United States Secretary of State]
-
A.
originalForm
Indicates that one entity is the earlier, source, or initial version from which another entity is derived or transformed.
-
B.
isAlternativeTo
chosen
Indicates that one entity can serve as a substitute or different option in place of another.
-
C.
standardFormBasedOn
Indicates that one entity’s standard or canonical form is derived from, defined by, or constructed on the basis of another entity.
-
D.
standardFormBasedIn
Indicates that a standardized form or format is established, defined, or grounded in a particular source, basis, or reference framework.
-
E.
typicalForm
Indicates that one entity represents the standard, characteristic, or most common form or shape in which another entity typically appears or is realized.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef6755a08190a057e72279b70456 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2ede1a1108190a4a06b3416ae6156 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.