Triple
T33378711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Douglas |
E854708
|
entity |
| Predicate | laterLearns |
P201309
|
FINISHED |
| Object | Herbie is sentient |
—
|
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: Herbie is sentient | Statement: [Jim Douglas, laterLearns, Herbie is sentient]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterLearns Context triple: [Jim Douglas, laterLearns, Herbie is sentient]
-
A.
earntBy
Indicates that something (such as money, points, or a reward) is obtained as a result of the actions, work, or performance of a particular entity.
-
B.
learnsLanguageFrom
Indicates that one entity acquires or improves knowledge of a language through instruction, exposure, or guidance provided by another entity.
-
C.
learnedIn
Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
-
D.
learn
Indicates that an entity acquires knowledge, skills, or understanding from another entity, source, or experience.
-
E.
learnsLanguage
Indicates that an entity acquires knowledge or skill in a particular language through study or practice.
- 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffe8ebe9fc8190b1934a3c4074370c |
completed | May 10, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69ffe83a5de88190bed3e8bac86e8760 |
completed | May 10, 2026, 2:06 a.m. |
| PDg | Predicate description generation | batch_69ffe8eb47d48190acf7794ebe3ef4b8 |
completed | May 10, 2026, 2:09 a.m. |
Created at: May 1, 2026, 1:35 a.m.