Triple
T37288680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kit Tyler |
E925601
|
entity |
| Predicate | teachesToRead |
P175591
|
FINISHED |
| Object | Prudence Cruff |
—
|
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: Prudence Cruff | Statement: [Kit Tyler, teachesToRead, Prudence Cruff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesToRead Context triple: [Kit Tyler, teachesToRead, Prudence Cruff]
-
A.
learnsToRead
Indicates that an entity is in the process of acquiring the ability or skill to read.
-
B.
learnedToReadAndWriteIn
Indicates that an entity acquired the skills of reading and writing during a period associated with a specified context, such as a place, institution, or time.
-
C.
containsReading
Indicates that one entity includes or encompasses a particular reading (such as a measurement, value, or interpretation) within it.
-
D.
teachesChildren
chosen
Indicates that one entity provides instruction or education specifically to child entities.
-
E.
readingOf
Indicates that one entity is an interpretation, measurement, or recorded value derived from 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.