Triple
T8388100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Williams |
E197870
|
entity |
| Predicate | studiesFor |
P81792
|
FINISHED |
| Object | high school equivalency exam |
—
|
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: high school equivalency exam | Statement: [Tommy Williams, studiesFor, high school equivalency exam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesFor Context triple: [Tommy Williams, studiesFor, high school equivalency exam]
-
A.
alsoStudied
Indicates that an entity pursued additional studies in another subject, field, or institution besides a primary one.
-
B.
widelyStudiedIn
Indicates that something has been extensively researched, analyzed, or examined within a particular field, domain, or context.
-
C.
studiesConcept
Indicates that an entity engages in learning, examining, or researching a particular concept.
-
D.
canBeStudiedAs
Indicates that something is suitable or appropriate to be examined, analyzed, or researched as a subject of study.
-
E.
partOfStudy
Indicates that something is a component, segment, or subset within a larger study or research project.
- F. None of above. chosen
Provenance (4 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb81090f688190a3a8d1680383c361 |
completed | March 31, 2026, 8:08 a.m. |
| PD | Predicate disambiguation | batch_69cb70cfe82881909fe374ba52649e84 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76da264881909483b835e1db06da |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:03 p.m.