Triple
T7623846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Society for the Collegiate Instruction of Women |
E172573
|
entity |
| Predicate | instructionProvidedBy |
P18444
|
FINISHED |
| Object | Harvard professors |
—
|
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: Harvard professors | Statement: [Society for the Collegiate Instruction of Women, instructionProvidedBy, Harvard professors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instructionProvidedBy Context triple: [Society for the Collegiate Instruction of Women, instructionProvidedBy, Harvard professors]
-
A.
instruction
Indicates that one entity provides a directive or order specifying an action that another entity should perform.
-
B.
guidedBy
Indicates that an entity’s actions, decisions, or movement are directed, advised, or led by another entity.
-
C.
providesGuidanceTo
chosen
Indicates that one entity offers direction, advice, or instruction to another entity.
-
D.
includesInstruction
Indicates that one entity contains, provides, or embeds an instruction or set of instructions directed toward another entity.
-
E.
providesTrainingFor
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:56 p.m.